From mboxrd@z Thu Jan  1 00:00:00 1970
Received: with ECARTIS (v1.0.0; list linux-mips); Thu, 24 Jul 2008 17:16:34 +0100 (BST)
Received: from NaN.false.org ([208.75.86.248]:60314 "EHLO nan.false.org")
	by ftp.linux-mips.org with ESMTP id S28586632AbYGXQQ3 (ORCPT
	<rfc822;linux-mips@linux-mips.org>); Thu, 24 Jul 2008 17:16:29 +0100
Received: from nan.false.org (localhost [127.0.0.1])
	by nan.false.org (Postfix) with ESMTP id BCB4C98376;
	Thu, 24 Jul 2008 16:16:25 +0000 (GMT)
Received: from caradoc.them.org (22.svnf5.xdsl.nauticom.net [209.195.183.55])
	by nan.false.org (Postfix) with ESMTP id EE9D898337;
	Thu, 24 Jul 2008 16:16:22 +0000 (GMT)
Received: from drow by caradoc.them.org with local (Exim 4.69)
	(envelope-from <drow@caradoc.them.org>)
	id 1KM3UM-0000dZ-CW; Thu, 24 Jul 2008 12:16:22 -0400
Date:	Thu, 24 Jul 2008 12:16:20 -0400
From:	Daniel Jacobowitz <dan@debian.org>
To:	binutils@sourceware.org, gcc@gcc.gnu.org,
	linux-mips@linux-mips.org, rdsandiford@googlemail.com
Subject: Re: RFC: Adding non-PIC executable support to MIPS
Message-ID: <20080724161619.GA18842@caradoc.them.org>
Mail-Followup-To: binutils@sourceware.org, gcc@gcc.gnu.org,
	linux-mips@linux-mips.org, rdsandiford@googlemail.com
References: <87y74pxwyl.fsf@firetop.home>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="IS0zKkzwUGydFO0o"
Content-Disposition: inline
In-Reply-To: <87y74pxwyl.fsf@firetop.home>
User-Agent: Mutt/1.5.17 (2008-05-11)
Return-Path: <drow@false.org>
X-Envelope-To: <"|/home/ecartis/ecartis -s linux-mips"> (uid 0)
X-Orcpt: rfc822;linux-mips@linux-mips.org
Original-Recipient: rfc822;linux-mips@linux-mips.org
X-archive-position: 19944
X-ecartis-version: Ecartis v1.0.0
Sender: linux-mips-bounce@linux-mips.org
Errors-to: linux-mips-bounce@linux-mips.org
X-original-sender: dan@debian.org
Precedence: bulk
X-list: linux-mips


--IS0zKkzwUGydFO0o
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline

On Sat, Jun 28, 2008 at 06:58:58PM +0100, Richard Sandiford wrote:
> I suppose the good news is that we can pick the best bits of each
> implementation as the official one.

And that's what I've been working on.  We had to pick some bits from
the CodeSourcery implementation that I wouldn't describe as "best" -
arbitrarily different or a bit less efficient - due to ABI constraints
we've already discussed.  But I was able to pick up clever bits from
both sets as I combined them.

I have attached patch for gdb and glibc.  These are only slightly
changed from my last posting.  I've also attached quilt series for
binutils and gcc; these are based on Richard's.  I disabled a couple
of patches that had already been applied to binutils HEAD, but
otherwise did not change any of Richard's patches.  I added a
cs-plts.patch to the end of both series.  This form is probably better
for review and discussion than it would be for committing; the bits
from cs-plts.patch belong in several earlier patches in each series,
but I decided this would be an unworkable way to compare patches.

I have tested this thoroughly on mips-linux and somewhat on N32 / N64
(binutils testsuites and GCC's builtins.exp).  The testing was before
some last minute fixes, though, and I've only retested individual
tests since.  I'll be rerunning a complete test cycle, but I wanted to
get this posted and I'm 99% sure I didn't break anything (this time).

All comments welcome - Richard, especially from you.  How would you
like to proceed?  I think the first step should be to get your other
binutils/gcc patches merged, including MIPS16 PIC; I used those as a
base.  But see a few of the notes for potential problems with those
patches.

My notes about the merge:

- Richard's ld -r support is an addition to the ABI, but does not
conflict with anything else, so I included it.  I discovered two
potential problems:

  - If a symbol with STO_MIPS_PIC is localized using objcopy,
  binutils will ignore the flag.  I don't think this is presently
  worth implementing but it might be wise to add an error message.
  I haven't done that yet.

  - Superfluous la25 stubs are suppressed when a PIC2 file uses jal.
  This is an optimization performed by gcc -mno-shared.  It will not
  work after ld -r into a non-PIC file; the jump will appear to come
  from a non-PIC object and be redirected to a new stub.  This is only
  a minor performance pessimization and I do not plan to fix it.

- Some mips16 call stubs called through $1 instead of $25.  I believe
I've fixed them all, though I am not set up to test mips16.  I don't
think this would have caused a problem, since as far as I can tell
the indirect jumps are only used when the target is mips16; but better
safe than sorry so we now follow the ABI.

- It would be nice to generate, in some cases, both a .MIPS.stubs lazy
binding stub and a PLT entry.  However, I determined that considerable
additional work would be required to do this; most likely we'd need
two entries for the same symbol in the dynamic symbol table so that
the GOT entry could be associated with the lazy loading stub.  As
things stand it is possible to link non-PIC and PIC code together, and
if both call the same function and the non-PIC code takes its address,
calls to the function from PIC code will be penalized.  I do not
expect this case to matter.  Most applications will be predominantly
PIC or non-PIC.

- I've dropped support for a non-fixed $gp.  This is a handy
optimization, but it was getting in the way and it was the part of the
GCC patch Richard had the most comments on.  I can resubmit it after
everything else is merged.

- Richard's implementation had __PIC__ mean abicalls.  Our patch
changed __PIC__ to mean pic2 abicalls only.  I've included that in
this patch.  My reasoning is that most non-pic non-abicalls code works
properly even with pic0 abicalls; the only problem is indirect calls
through a register other than $25.  This lets glibc automatically use
some more efficient sequences in static applications.

- With Richard's patches I saw a crash building libstdc++ with symbol
versioning.  This was caused by not following indirect symbols in all
cases during check_relocs; we would assign a GGA_NORMAL GOT slot to
an indirect symbol, and trigger an assertion failure while removing
it.  This is sensitive to link order.

- A small change in glibc fixes the canonical address of functions
with PLT entries, when referenced from PIC code.

- I added pointer_equality_needed support to binutils to suppress
setting st_value to the PLT entry in most cases.

- The GCC new-static-chain.patch causes nested-func-4.exe to fail.
_mcount is called through a PLT entry, which clobbers $15.  I believe
we need to add this to MIPS_SAVE_REG_FOR_PROFILING_P.  I didn't fix
this yet.

- no-fn-name-already-declared.patch removed the call to
ASM_OUTPUT_TYPE_DIRECTIVE for Linux.  .ent has similar effect, but is
suppressed by flag_inhibit_size_directive.  This caused glibc's _init
to be STT_OBJECT, and not get a PIC call stub.  I've changed GCC to
emit .type for all platforms; Richard, if this should be restricted
to the status quo (i.e. Linux) let me know.  Also the STT_FUNC check
in the linker was unnecessary now that we only use la25 stubs for
jump relocations.

-- 
Daniel Jacobowitz
CodeSourcery

--IS0zKkzwUGydFO0o
Content-Type: application/octet-stream
Content-Disposition: attachment; filename="gcc-quilt.tar.gz"
Content-Transfer-Encoding: base64
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--IS0zKkzwUGydFO0o
Content-Type: application/octet-stream
Content-Disposition: attachment; filename="binutils-quilt.tar.gz"
Content-Transfer-Encoding: base64
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--IS0zKkzwUGydFO0o
Content-Type: text/x-diff; charset=us-ascii
Content-Disposition: attachment; filename="gdb-nonpic.patch"

2008-03-07  Daniel Jacobowitz  <dan@codesourcery.com>

	gdb/
	* mips-tdep.c (mips32_scan_prologue): Stop scanning at branches.

2008-07-24  Daniel Jacobowitz  <dan@codesourcery.com>

	gdb/
	* mips-linux-tdep.c (mips_linux_in_dynsym_resolve_code): Update
	comments.
	(mips_linux_skip_resolver): Also use glibc_skip_solib_resolver.
	(mips_linux_init_abi): Do not override skip_trampoline_code.
	* configure.tgt (mips*-*-linux*): Add glibc-tdep.o.
	* mips-tdep.c (mips_stub_frame_sniffer): Use the stub frame sniffer
	for PIC stubs.
	(mips_skip_mips16_trampoline_code): Rename from
	mips_skip_trampoline_code.
	(mips_skip_pic_trampoline_code, mips_skip_trampoline_code): New.
	* infrun.c (handle_inferior_event): Do not check
	IN_SOLIB_DYNSYM_RESOLVE_CODE.  Do not pass zero to
	in_solib_dynsym_resolve_code.
	* Makefile.in (mips-linux-tdep.o): Update.

2008-07-24  Daniel Jacobowitz  <dan@codesourcery.com>

	gdb/gdbserver/
	* configure.srv: Combine mips*64*-*-linux* and mips*-*-linux*.

Index: gdb/Makefile.in
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/Makefile.in,v
retrieving revision 1.1027
diff -u -p -r1.1027 Makefile.in
--- gdb/Makefile.in	10 Jun 2008 10:23:53 -0000	1.1027
+++ gdb/Makefile.in	27 Jun 2008 14:28:26 -0000
@@ -2519,7 +2519,7 @@ mips-linux-tdep.o: mips-linux-tdep.c $(d
 	$(gdb_assert_h) $(frame_h) $(regcache_h) $(trad_frame_h) \
 	$(tramp_frame_h) $(gdbtypes_h) $(solib_h) $(symtab_h) \
 	$(mips_linux_tdep_h) $(solist_h) $(solib_svr4_h) \
-	$(target_descriptions_h)
+	$(target_descriptions_h) $(glibc_tdep_h)
 mipsnbsd-nat.o: mipsnbsd-nat.c $(defs_h) $(inferior_h) $(regcache_h) \
 	$(target_h) $(mips_tdep_h) $(mipsnbsd_tdep_h) $(inf_ptrace_h)
 mipsnbsd-tdep.o: mipsnbsd-tdep.c $(defs_h) $(gdbcore_h) $(regcache_h) \
Index: gdb/configure.tgt
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/configure.tgt,v
retrieving revision 1.203
diff -u -p -r1.203 configure.tgt
--- gdb/configure.tgt	1 May 2008 23:09:14 -0000	1.203
+++ gdb/configure.tgt	27 Jun 2008 14:28:26 -0000
@@ -297,7 +297,7 @@ mips*-sgi-irix6*)
 	;;
 mips*-*-linux*)
 	# Target: Linux/MIPS
-	gdb_target_obs="mips-tdep.o mips-linux-tdep.o \
+	gdb_target_obs="mips-tdep.o mips-linux-tdep.o glibc-tdep.o \
 			corelow.o solib.o solib-svr4.o symfile-mem.o"
 	gdb_sim=../sim/mips/libsim.a
 	build_gdbserver=yes
Index: gdb/infrun.c
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/infrun.c,v
retrieving revision 1.282
diff -u -p -r1.282 infrun.c
--- gdb/infrun.c	24 Jun 2008 19:30:18 -0000	1.282
+++ gdb/infrun.c	27 Jun 2008 14:28:26 -0000
@@ -2863,12 +2863,7 @@ infrun: BPSTAT_WHAT_SET_LONGJMP_RESUME (
      until we exit the run time loader code and reach the callee's
      address.  */
   if (step_over_calls == STEP_OVER_UNDEBUGGABLE
-#ifdef IN_SOLIB_DYNSYM_RESOLVE_CODE
-      && IN_SOLIB_DYNSYM_RESOLVE_CODE (stop_pc)
-#else
-      && in_solib_dynsym_resolve_code (stop_pc)
-#endif
-      )
+      && in_solib_dynsym_resolve_code (stop_pc))
     {
       CORE_ADDR pc_after_resolver =
 	gdbarch_skip_solib_resolver (current_gdbarch, stop_pc);
@@ -2961,13 +2956,7 @@ infrun: BPSTAT_WHAT_SET_LONGJMP_RESUME (
       if (real_stop_pc != 0)
 	ecs->stop_func_start = real_stop_pc;
 
-      if (
-#ifdef IN_SOLIB_DYNSYM_RESOLVE_CODE
-	  IN_SOLIB_DYNSYM_RESOLVE_CODE (ecs->stop_func_start)
-#else
-	  in_solib_dynsym_resolve_code (ecs->stop_func_start)
-#endif
-)
+      if (real_stop_pc != 0 && in_solib_dynsym_resolve_code (real_stop_pc))
 	{
 	  struct symtab_and_line sr_sal;
 	  init_sal (&sr_sal);
Index: gdb/mips-linux-tdep.c
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/mips-linux-tdep.c,v
retrieving revision 1.71
diff -u -p -r1.71 mips-linux-tdep.c
--- gdb/mips-linux-tdep.c	30 Apr 2008 21:25:16 -0000	1.71
+++ gdb/mips-linux-tdep.c	27 Jun 2008 14:28:26 -0000
@@ -37,6 +37,7 @@
 #include "symtab.h"
 #include "target-descriptions.h"
 #include "mips-linux-tdep.h"
+#include "glibc-tdep.h"
 
 static struct target_so_ops mips_svr4_so_ops;
 
@@ -666,13 +667,13 @@ mips_linux_in_dynsym_stub (CORE_ADDR pc,
 }
 
 /* Return non-zero iff PC belongs to the dynamic linker resolution
-   code or to a stub.  */
+   code, a PLT entry, or a lazy binding stub.  */
 
 static int
 mips_linux_in_dynsym_resolve_code (CORE_ADDR pc)
 {
   /* Check whether PC is in the dynamic linker.  This also checks
-     whether it is in the .plt section, which MIPS does not use.  */
+     whether it is in the .plt section, used by non-PIC executables.  */
   if (svr4_in_dynsym_resolve_code (pc))
     return 1;
 
@@ -688,8 +689,8 @@ mips_linux_in_dynsym_resolve_code (CORE_
    and glibc_skip_solib_resolver in glibc-tdep.c.  The normal glibc
    implementation of this triggers at "fixup" from the same objfile as
    "_dl_runtime_resolve"; MIPS GNU/Linux can trigger at
-   "__dl_runtime_resolve" directly.  An unresolved PLT entry will
-   point to _dl_runtime_resolve, which will first call
+   "__dl_runtime_resolve" directly.  An unresolved lazy binding
+   stub will point to _dl_runtime_resolve, which will first call
    __dl_runtime_resolve, and then pass control to the resolved
    function.  */
 
@@ -703,7 +704,7 @@ mips_linux_skip_resolver (struct gdbarch
   if (resolver && SYMBOL_VALUE_ADDRESS (resolver) == pc)
     return frame_pc_unwind (get_current_frame ());
 
-  return 0;
+  return glibc_skip_solib_resolver (gdbarch, pc);
 }
 
 /* Signal trampoline support.  There are four supported layouts for a
@@ -1151,7 +1152,6 @@ mips_linux_init_abi (struct gdbarch_info
 	break;
     }
 
-  set_gdbarch_skip_trampoline_code (gdbarch, find_solib_trampoline_target);
   set_gdbarch_skip_solib_resolver (gdbarch, mips_linux_skip_resolver);
 
   set_gdbarch_software_single_step (gdbarch, mips_software_single_step);
Index: gdb/mips-tdep.c
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/mips-tdep.c,v
retrieving revision 1.475
diff -u -p -r1.475 mips-tdep.c
--- gdb/mips-tdep.c	3 Jun 2008 10:53:34 -0000	1.475
+++ gdb/mips-tdep.c	23 Jul 2008 19:28:33 -0000
@@ -1928,6 +1928,7 @@ mips32_scan_prologue (CORE_ADDR start_pc
   CORE_ADDR end_prologue_addr = 0;
   int seen_sp_adjust = 0;
   int load_immediate_bytes = 0;
+  int in_delay_slot = 0;
   struct gdbarch *gdbarch = get_frame_arch (this_frame);
   int regsize_is_64_bits = (mips_abi_regsize (gdbarch) == 8);
 
@@ -2085,7 +2086,18 @@ restart:
             instructions?  */
          if (end_prologue_addr == 0)
            end_prologue_addr = cur_pc;
+
+	 /* Check for branches and jumps.  For now, only jump to
+	    register are caught (i.e. returns).  */
+	 if ((itype_op (inst) & 0x07) == 0 && rtype_funct (inst) == 8)
+	   in_delay_slot = 1;
        }
+
+      /* If the previous instruction was a jump, we must have reached
+	 the end of the prologue by now.  Stop scanning so that we do
+	 not go past the function return.  */
+      if (in_delay_slot)
+	break;
     }
 
   if (this_cache != NULL)
@@ -2287,6 +2299,7 @@ mips_stub_frame_sniffer (const struct fr
   gdb_byte dummy[4];
   struct obj_section *s;
   CORE_ADDR pc = get_frame_address_in_block (this_frame);
+  struct minimal_symbol *msym;
 
   /* Use the stub unwinder for unreadable code.  */
   if (target_read_memory (get_frame_pc (this_frame), dummy, 4) != 0)
@@ -2303,6 +2316,14 @@ mips_stub_frame_sniffer (const struct fr
 		 ".MIPS.stubs") == 0)
     return 1;
 
+  /* Calling a PIC function from a non-PIC function passes through a
+     stub.  The stub for foo is named ".pic.foo".  */
+  msym = lookup_minimal_symbol_by_pc (pc);
+  if (msym != NULL
+      && SYMBOL_LINKAGE_NAME (msym) != NULL
+      && strncmp (SYMBOL_LINKAGE_NAME (msym), ".pic.", 5) == 0)
+    return 1;
+
   return 0;
 }
 
@@ -5020,7 +5041,7 @@ mips_breakpoint_from_pc (struct gdbarch 
    gory details.  */
 
 static CORE_ADDR
-mips_skip_trampoline_code (struct frame_info *frame, CORE_ADDR pc)
+mips_skip_mips16_trampoline_code (struct frame_info *frame, CORE_ADDR pc)
 {
   char *name;
   CORE_ADDR start_addr;
@@ -5099,6 +5120,80 @@ mips_skip_trampoline_code (struct frame_
   return 0;			/* not a stub */
 }
 
+/* If the current PC is the start of a non-PIC-to-PIC stub, return the
+   PC of the stub target.  The stub just loads $t9 and jumps to it,
+   so that $t9 has the correct value at function entry.  */
+
+static CORE_ADDR
+mips_skip_pic_trampoline_code (struct frame_info *frame, CORE_ADDR pc)
+{
+  struct minimal_symbol *msym;
+  int i;
+  gdb_byte stub_code[16];
+  int32_t stub_words[4];
+
+  /* The stub for foo is named ".pic.foo", and is either two
+     instructions inserted before foo or a three instruction sequence
+     which jumps to foo.  */
+  msym = lookup_minimal_symbol_by_pc (pc);
+  if (msym == NULL
+      || SYMBOL_VALUE_ADDRESS (msym) != pc
+      || SYMBOL_LINKAGE_NAME (msym) == NULL
+      || strncmp (SYMBOL_LINKAGE_NAME (msym), ".pic.", 5) != 0)
+    return 0;
+
+  /* A two-instruction header.  */
+  if (MSYMBOL_SIZE (msym) == 8)
+    return pc + 8;
+
+  /* A three-instruction (plus delay slot) trampoline.  */
+  if (MSYMBOL_SIZE (msym) == 16)
+    {
+      if (target_read_memory (pc, stub_code, 16) != 0)
+	return 0;
+      for (i = 0; i < 4; i++)
+	stub_words[i] = extract_unsigned_integer (stub_code + i * 4, 4);
+
+      /* A stub contains these instructions:
+	 lui	t9, %hi(target)
+	 j	target
+	  addiu	t9, t9, %lo(target)
+	 nop
+
+	 This works even for N64, since stubs are only generated with
+	 -msym32.  */
+      if ((stub_words[0] & 0xffff0000U) == 0x3c190000
+	  && (stub_words[1] & 0xfc000000U) == 0x08000000
+	  && (stub_words[2] & 0xffff0000U) == 0x27390000
+	  && stub_words[3] == 0x00000000)
+	return (((stub_words[0] & 0x0000ffff) << 16)
+		+ (stub_words[2] & 0x0000ffff));
+    }
+
+  /* Not a recognized stub.  */
+  return 0;
+}
+
+static CORE_ADDR
+mips_skip_trampoline_code (struct frame_info *frame, CORE_ADDR pc)
+{
+  CORE_ADDR target_pc;
+
+  target_pc = mips_skip_mips16_trampoline_code (frame, pc);
+  if (target_pc)
+    return target_pc;
+
+  target_pc = find_solib_trampoline_target (frame, pc);
+  if (target_pc)
+    return target_pc;
+
+  target_pc = mips_skip_pic_trampoline_code (frame, pc);
+  if (target_pc)
+    return target_pc;
+
+  return 0;
+}
+
 /* Convert a dbx stab register number (from `r' declaration) to a GDB
    [1 * gdbarch_num_regs .. 2 * gdbarch_num_regs) REGNUM.  */
 
Index: gdb/gdbserver/configure.srv
===================================================================
RCS file: /scratch/gcc/repos/src/src/gdb/gdbserver/configure.srv,v
retrieving revision 1.35
diff -u -p -r1.35 configure.srv
--- gdb/gdbserver/configure.srv	3 May 2008 17:16:43 -0000	1.35
+++ gdb/gdbserver/configure.srv	23 Jul 2008 14:11:54 -0000
@@ -86,22 +86,15 @@ case "${target}" in
 			srv_linux_regsets=yes
 			srv_linux_thread_db=yes
 			;;
-  mips*64*-*-linux*)	srv_regobj=mips64-linux.o
+  mips*-*-linux*)	srv_regobj="mips-linux.o mips64-linux.o"
 			srv_tgtobj="linux-low.o linux-mips-low.o"
-			srv_xmlfiles="mips64-linux.xml"
-			srv_xmlfiles="${srv_xmlfiles} mips64-cpu.xml"
-			srv_xmlfiles="${srv_xmlfiles} mips64-cp0.xml"
-			srv_xmlfiles="${srv_xmlfiles} mips64-fpu.xml"
-			srv_linux_regsets=yes
-			srv_linux_usrregs=yes
-			srv_linux_thread_db=yes
-			;;
-  mips*-*-linux*)	srv_regobj=mips-linux.o
-			srv_tgtobj="linux-low.o linux-mips-low.o"
-			srv_xmlfiles="mips-linux.xml"
+			srv_xmlfiles="mips-linux.xml mips64-linux.xml"
 			srv_xmlfiles="${srv_xmlfiles} mips-cpu.xml"
 			srv_xmlfiles="${srv_xmlfiles} mips-cp0.xml"
 			srv_xmlfiles="${srv_xmlfiles} mips-fpu.xml"
+			srv_xmlfiles="${srv_xmlfiles} mips64-cpu.xml"
+			srv_xmlfiles="${srv_xmlfiles} mips64-cp0.xml"
+			srv_xmlfiles="${srv_xmlfiles} mips64-fpu.xml"
 			srv_linux_regsets=yes
 			srv_linux_usrregs=yes
 			srv_linux_thread_db=yes

--IS0zKkzwUGydFO0o
Content-Type: text/x-diff; charset=us-ascii
Content-Disposition: attachment; filename="glibc-ports-nonpic.patch"

2008-07-24  Mark Shinwell  <shinwell@codesourcery.com>
	    Daniel Jacobowitz  <dan@codesourcery.com>
	    Richard Sandiford  <rdsandiford@googlemail.com>

	* sysdeps/mips/dl-lookup.c: New.
	* sysdeps/mips/do-lookup.h: New.
	* sysdeps/mips/dl-machine.h (ELF_MACHINE_NO_PLT): Remove
	definition.
	(ELF_MACHINE_JMP_SLOT): Alter definition and update comment.
	(elf_machine_type_class): Likewise.
	(ELF_MACHINE_PLT_REL): Define.
	(elf_machine_fixup_plt): New.
	(elf_machine_plt_value): New.
	(elf_machine_reloc): Handle jump slot and copy relocations.
	(elf_machine_lazy_rel): Point relocation place at PLT if
	required.
	(RESOLVE_GOTSYM): Take a relocation type argument.
	(elf_machine_got_rel): Bind lazy stubs directly to their target if
	!lazy.  Skip lazy binding for PLT symbols.
	(elf_machine_runtime_setup): Fill in .got.plt header.
	* sysdeps/mips/dl-trampoline.c (IFNEWABI): New macro.
	(_dl_runtime_pltresolve): New.
	* sysdeps/mips/bits/linkmap.h: New file.
	* sysdeps/mips/tls-macros.h: Load $gp as required.  Merge 32-bit and
	64-bit versions.

	* sysdeps/unix/sysv/linux/mips/mips32/sysdep.h (SYSCALL_ERROR_LABEL):
	Delete definition.
	* sysdeps/unix/sysv/linux/mips/nptl/sysdep-cancel.h (PSEUDO_CPLOAD,
	PSEUDO_ERRJMP, PSEUDO_SAVEGP, PSEUDO_LOADGP): Define.
	(PSEUDO): Use them.  Move outside __PIC__.
	(PSEUDO_JMP): New.
	(CENABLE, CDISABLE): Use it.

Index: sysdeps/unix/sysv/linux/mips/mips32/sysdep.h
===================================================================
--- sysdeps/unix/sysv/linux/mips/mips32/sysdep.h	(revision 213009)
+++ sysdeps/unix/sysv/linux/mips/mips32/sysdep.h	(working copy)
@@ -35,15 +35,7 @@
 # define SYS_ify(syscall_name)	__NR_/**/syscall_name
 #endif
 
-#ifdef __ASSEMBLER__
-
-/* We don't want the label for the error handler to be visible in the symbol
-   table when we define it here.  */
-#ifdef __PIC__
-# define SYSCALL_ERROR_LABEL 99b
-#endif
-
-#else   /* ! __ASSEMBLER__ */
+#ifndef __ASSEMBLER__
 
 /* Define a macro which expands into the inline wrapper code for a system
    call.  */
Index: sysdeps/unix/sysv/linux/mips/nptl/sysdep-cancel.h
===================================================================
--- sysdeps/unix/sysv/linux/mips/nptl/sysdep-cancel.h	(revision 213009)
+++ sysdeps/unix/sysv/linux/mips/nptl/sysdep-cancel.h	(working copy)
@@ -25,28 +25,38 @@
 
 #if !defined NOT_IN_libc || defined IS_IN_libpthread || defined IS_IN_librt
 
-#ifdef __PIC__
+# ifdef __PIC__
+#  define PSEUDO_CPLOAD .cpload t9;
+#  define PSEUDO_ERRJMP la t9, __syscall_error; jr t9;
+#  define PSEUDO_SAVEGP sw gp, 32(sp); cfi_rel_offset (gp, 32);
+#  define PSEUDO_LOADGP lw gp, 32(sp);
+# else
+#  define PSEUDO_CPLOAD
+#  define PSEUDO_ERRJMP j __syscall_error;
+#  define PSEUDO_SAVEGP
+#  define PSEUDO_LOADGP
+# endif
+
 # undef PSEUDO
 # define PSEUDO(name, syscall_name, args)				      \
       .align 2;								      \
   L(pseudo_start):							      \
       cfi_startproc;							      \
-  99: la t9,__syscall_error;						      \
-      jr t9;								      \
+  99: PSEUDO_ERRJMP							      \
   .type __##syscall_name##_nocancel, @function;				      \
   .globl __##syscall_name##_nocancel;					      \
   __##syscall_name##_nocancel:						      \
     .set noreorder;							      \
-    .cpload t9;								      \
+    PSEUDO_CPLOAD							      \
     li v0, SYS_ify(syscall_name);					      \
     syscall;								      \
     .set reorder;							      \
-    bne a3, zero, SYSCALL_ERROR_LABEL;			       		      \
+    bne a3, zero, 99b;					       		      \
     ret;								      \
   .size __##syscall_name##_nocancel,.-__##syscall_name##_nocancel;	      \
   ENTRY (name)								      \
     .set noreorder;							      \
-    .cpload t9;								      \
+    PSEUDO_CPLOAD							      \
     .set reorder;							      \
     SINGLE_THREAD_P(v1);						      \
     bne zero, v1, L(pseudo_cancel);					      \
@@ -54,17 +64,16 @@
     li v0, SYS_ify(syscall_name);					      \
     syscall;								      \
     .set reorder;							      \
-    bne a3, zero, SYSCALL_ERROR_LABEL;			       		      \
+    bne a3, zero, 99b;					       		      \
     ret;								      \
   L(pseudo_cancel):							      \
     SAVESTK_##args;						              \
     sw ra, 28(sp);							      \
     cfi_rel_offset (ra, 28);						      \
-    sw gp, 32(sp);							      \
-    cfi_rel_offset (gp, 32);						      \
+    PSEUDO_SAVEGP							      \
     PUSHARGS_##args;			/* save syscall args */	      	      \
     CENABLE;								      \
-    lw gp, 32(sp);							      \
+    PSEUDO_LOADGP							      \
     sw v0, 44(sp);			/* save mask */			      \
     POPARGS_##args;			/* restore syscall args */	      \
     .set noreorder;							      \
@@ -75,12 +84,12 @@
     sw a3, 40(sp);			/* save syscall error flag */	      \
     lw a0, 44(sp);			/* pass mask as arg1 */		      \
     CDISABLE;								      \
-    lw gp, 32(sp);							      \
+    PSEUDO_LOADGP							      \
     lw v0, 36(sp);			/* restore syscall result */          \
     lw a3, 40(sp);			/* restore syscall error flag */      \
     lw ra, 28(sp);			/* restore return address */	      \
     .set noreorder;							      \
-    bne a3, zero, SYSCALL_ERROR_LABEL;					      \
+    bne a3, zero, 99b;							      \
      RESTORESTK;						              \
   L(pseudo_end):							      \
     .set reorder;
@@ -88,8 +97,6 @@
 # undef PSEUDO_END
 # define PSEUDO_END(sym) cfi_endproc; .end sym; .size sym,.-sym
 
-#endif
-
 # define PUSHARGS_0	/* nothing to do */
 # define PUSHARGS_1	PUSHARGS_0 sw a0, 0(sp); cfi_rel_offset (a0, 0);
 # define PUSHARGS_2	PUSHARGS_1 sw a1, 4(sp); cfi_rel_offset (a1, 4);
@@ -136,19 +143,25 @@
 # define RESTORESTK 	addu sp, STKSPACE; cfi_adjust_cfa_offset(-STKSPACE)
 
 
+# ifdef __PIC__
 /* We use jalr rather than jal.  This means that the assembler will not
    automatically restore $gp (in case libc has multiple GOTs) so we must
    do it manually - which we have to do anyway since we don't use .cprestore.
    It also shuts up the assembler warning about not using .cprestore.  */
+#  define PSEUDO_JMP(sym) la t9, sym; jalr t9;
+# else
+#  define PSEUDO_JMP(sym) jal sym;
+# endif
+
 # ifdef IS_IN_libpthread
-#  define CENABLE	la t9, __pthread_enable_asynccancel; jalr t9;
-#  define CDISABLE	la t9, __pthread_disable_asynccancel; jalr t9;
+#  define CENABLE	PSEUDO_JMP (__pthread_enable_asynccancel)
+#  define CDISABLE	PSEUDO_JMP (__pthread_disable_asynccancel)
 # elif defined IS_IN_librt
-#  define CENABLE	la t9, __librt_enable_asynccancel; jalr t9;
-#  define CDISABLE	la t9, __librt_disable_asynccancel; jalr t9;
+#  define CENABLE	PSEUDO_JMP (__librt_enable_asynccancel)
+#  define CDISABLE	PSEUDO_JMP (__librt_disable_asynccancel)
 # else
-#  define CENABLE	la t9, __libc_enable_asynccancel; jalr t9;
-#  define CDISABLE	la t9, __libc_disable_asynccancel; jalr t9;
+#  define CENABLE	PSEUDO_JMP (__libc_enable_asynccancel)
+#  define CDISABLE	PSEUDO_JMP (__libc_disable_asynccancel)
 # endif
 
 # ifndef __ASSEMBLER__
Index: sysdeps/mips/do-lookup.h
===================================================================
--- sysdeps/mips/do-lookup.h	(revision 0)
+++ sysdeps/mips/do-lookup.h	(revision 0)
@@ -0,0 +1,37 @@
+/* MIPS-specific veneer to GLIBC's do-lookup.h.
+   Copyright (C) 2008 Free Software Foundation, Inc.
+   This file is part of the GNU C Library.
+
+   The GNU C Library is free software; you can redistribute it and/or
+   modify it under the terms of the GNU Lesser General Public
+   License as published by the Free Software Foundation; either
+   version 2.1 of the License, or (at your option) any later version.
+
+   The GNU C Library is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+   Lesser General Public License for more details.
+
+   You should have received a copy of the GNU Lesser General Public
+   License along with the GNU C Library; if not, write to the Free
+   Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
+   02111-1307 USA.  */
+
+/* The semantics of zero/non-zero values of undefined symbols differs
+   depending on whether the non-PIC ABI is in use.  Under the non-PIC ABI,
+   a non-zero value indicates that there is an address reference to the
+   symbol and thus it must always be resolved (except when resolving a jump
+   slot relocation) to the PLT entry whose address is provided as the
+   symbol's value; a zero value indicates that this canonical-address
+   behaviour is not required.  Yet under the classic MIPS psABI, a zero value
+   indicates that there is an address reference to the function and the
+   dynamic linker must resolve the symbol immediately upon loading.  To
+   avoid conflict, symbols for which the dynamic linker must assume the
+   non-PIC ABI semantics are marked with the STO_MIPS_PLT flag.  The
+   following ugly hack causes the code in the platform-independent
+   do-lookup.h file to check this flag correctly.  */
+#define st_value st_shndx == SHN_UNDEF && !(sym->st_other & STO_MIPS_PLT)) \
+		 || (sym->st_value
+#include_next "do-lookup.h"
+#undef st_value
+
Index: sysdeps/mips/tls-macros.h
===================================================================
--- sysdeps/mips/tls-macros.h	(revision 213009)
+++ sysdeps/mips/tls-macros.h	(working copy)
@@ -1,44 +1,56 @@
 /* Macros to support TLS testing in times of missing compiler support.  */
 
-#if _MIPS_SIM != _ABI64
+#include <sys/cdefs.h>
+#include <sys/asm.h>
 
-/* These versions are for o32 and n32.  */
-
-# define TLS_GD(x)					\
-  ({ void *__result;					\
-     extern void *__tls_get_addr (void *);		\
-     asm ("addiu %0, $28, %%tlsgd(" #x ")"		\
-	  : "=r" (__result));				\
-     (int *)__tls_get_addr (__result); })
+#define __STRING2(X) __STRING(X)
+#define ADDU __STRING2(PTR_ADDU)
+#define ADDIU __STRING2(PTR_ADDIU)
+#define LW __STRING2(PTR_L)
+
+/* Load the GOT pointer, which may not be in $28 in a non-PIC
+   (abicalls pic0) function.  */
+#ifndef __PIC__
+# if _MIPS_SIM != _ABI64
+#  define LOAD_GP "move %[tmp], $28\n\tla $28, __gnu_local_gp\n\t"
+# else
+#  define LOAD_GP "move %[tmp], $28\n\tdla $28, __gnu_local_gp\n\t"
+# endif
+# define UNLOAD_GP "\n\tmove $28, %[tmp]"
 #else
+# define LOAD_GP
+# define UNLOAD_GP
+#endif
+
 # define TLS_GD(x)					\
-  ({ void *__result;					\
+  ({ void *__result, *__tmp;				\
      extern void *__tls_get_addr (void *);		\
-     asm ("daddiu %0, $28, %%tlsgd(" #x ")"		\
-	  : "=r" (__result));				\
+     asm (LOAD_GP ADDIU " %0, $28, %%tlsgd(" #x ")"	\
+	  UNLOAD_GP					\
+	  : "=r" (__result), [tmp] "=&r" (__tmp));	\
      (int *)__tls_get_addr (__result); })
-#endif
-
-#if _MIPS_SIM != _ABI64
 # define TLS_LD(x)					\
-  ({ void *__result;					\
+  ({ void *__result, *__tmp;				\
      extern void *__tls_get_addr (void *);		\
-     asm ("addiu %0, $28, %%tlsldm(" #x ")"		\
-	  : "=r" (__result));				\
+     asm (LOAD_GP ADDIU " %0, $28, %%tlsldm(" #x ")"	\
+	  UNLOAD_GP					\
+	  : "=r" (__result), [tmp] "=&r" (__tmp));	\
      __result = __tls_get_addr (__result);		\
      asm ("lui $3,%%dtprel_hi(" #x ")\n\t"		\
 	  "addiu $3,$3,%%dtprel_lo(" #x ")\n\t"		\
-	  "addu %0,%0,$3"				\
+	  ADDU " %0,%0,$3"				\
 	  : "+r" (__result) : : "$3");			\
      __result; })
 # define TLS_IE(x)					\
-  ({ void *__result;					\
+  ({ void *__result, *__tmp;				\
      asm (".set push\n\t.set mips32r2\n\t"		\
 	  "rdhwr\t%0,$29\n\t.set pop"			\
 	  : "=v" (__result));				\
-     asm ("lw $3,%%gottprel(" #x ")($28)\n\t"		\
-	  "addu %0,%0,$3"				\
-	  : "+r" (__result) : : "$3");			\
+     asm (LOAD_GP LW " $3,%%gottprel(" #x ")($28)\n\t"	\
+	  ADDU " %0,%0,$3"				\
+	  UNLOAD_GP					\
+	  : "+r" (__result), [tmp] "=&r" (__tmp)	\
+	  : : "$3");					\
      __result; })
 # define TLS_LE(x)					\
   ({ void *__result;					\
@@ -47,42 +59,6 @@
 	  : "=v" (__result));				\
      asm ("lui $3,%%tprel_hi(" #x ")\n\t"		\
 	  "addiu $3,$3,%%tprel_lo(" #x ")\n\t"		\
-	  "addu %0,%0,$3"				\
-	  : "+r" (__result) : : "$3");			\
-     __result; })
-
-#else
-
-/* These versions are for n64.  */
-
-# define TLS_LD(x)					\
-  ({ void *__result;					\
-     extern void *__tls_get_addr (void *);		\
-     asm ("daddiu %0, $28, %%tlsldm(" #x ")"		\
-	  : "=r" (__result));				\
-     __result = __tls_get_addr (__result);		\
-     asm ("lui $3,%%dtprel_hi(" #x ")\n\t"		\
-	  "daddiu $3,$3,%%dtprel_lo(" #x ")\n\t"	\
-	  "daddu %0,%0,$3"				\
-	  : "+r" (__result) : : "$3");			\
-     __result; })
-# define TLS_IE(x)					\
-  ({ void *__result;					\
-     asm (".set push\n\t.set mips32r2\n\t"		\
-	  "rdhwr\t%0,$29\n\t.set pop"			\
-	  : "=v" (__result));				\
-     asm ("ld $3,%%gottprel(" #x ")($28)\n\t"		\
-	  "daddu %0,%0,$3"				\
-	  : "+r" (__result) : : "$3");			\
-     __result; })
-# define TLS_LE(x)					\
-  ({ void *__result;					\
-     asm (".set push\n\t.set mips32r2\n\t"		\
-	  "rdhwr\t%0,$29\n\t.set pop"			\
-	  : "=v" (__result));				\
-     asm ("lui $3,%%tprel_hi(" #x ")\n\t"		\
-	  "daddiu $3,$3,%%tprel_lo(" #x ")\n\t"		\
-	  "daddu %0,%0,$3"				\
+	  ADDU " %0,%0,$3"				\
 	  : "+r" (__result) : : "$3");			\
      __result; })
-#endif
Index: sysdeps/mips/dl-machine.h
===================================================================
--- sysdeps/mips/dl-machine.h	(revision 213009)
+++ sysdeps/mips/dl-machine.h	(working copy)
@@ -25,8 +25,6 @@
 
 #define ELF_MACHINE_NAME "MIPS"
 
-#define ELF_MACHINE_NO_PLT
-
 #include <entry.h>
 
 #ifndef ENTRY_POINT
@@ -56,10 +54,14 @@
 #endif
 
 /* A reloc type used for ld.so cmdline arg lookups to reject PLT entries.
-   This makes no sense on MIPS but we have to define this to R_MIPS_REL32
-   to avoid the asserts in dl-lookup.c from blowing.  */
-#define ELF_MACHINE_JMP_SLOT			R_MIPS_REL32
-#define elf_machine_type_class(type)		ELF_RTYPE_CLASS_PLT
+   This only makes sense on MIPS when using PLTs, so choose the
+   PLT relocation (not encountered when not using PLTs).  */
+#define ELF_MACHINE_JMP_SLOT			R_MIPS_JUMP_SLOT
+#define elf_machine_type_class(type) \
+  ((((type) == ELF_MACHINE_JMP_SLOT) * ELF_RTYPE_CLASS_PLT)	\
+   | (((type) == R_MIPS_COPY) * ELF_RTYPE_CLASS_COPY))
+
+#define ELF_MACHINE_PLT_REL 1
 
 /* Translate a processor specific dynamic tag to the index
    in l_info array.  */
@@ -73,6 +75,15 @@ do { if ((l)->l_info[DT_MIPS (RLD_MAP)])
        (ElfW(Addr)) (r); \
    } while (0)
 
+/* Allow ABIVERSION == 1, meaning PLTs and copy relocations are
+   required.  */
+#define VALID_ELF_ABIVERSION(ver)	(ver == 0 || ver == 2)
+#define VALID_ELF_OSABI(osabi)		(osabi == ELFOSABI_SYSV)
+#define VALID_ELF_HEADER(hdr,exp,size) \
+  memcmp (hdr,exp,size-2) == 0 \
+  && VALID_ELF_OSABI (hdr[EI_OSABI]) \
+  && VALID_ELF_ABIVERSION (hdr[EI_ABIVERSION])
+
 /* Return nonzero iff ELF header is compatible with the running host.  */
 static inline int __attribute_used__
 elf_machine_matches_host (const ElfW(Ehdr) *ehdr)
@@ -294,6 +305,24 @@ do {									\
 #  define ARCH_LA_PLTEXIT mips_n64_gnu_pltexit
 # endif
 
+/* For a non-writable PLT, rewrite the .got.plt entry at RELOC_ADDR to
+   point at the symbol with address VALUE.  For a writable PLT, rewrite
+   the corresponding PLT entry instead.  */
+static inline ElfW(Addr)
+elf_machine_fixup_plt (struct link_map *map, lookup_t t,
+		       const ElfW(Rel) *reloc,
+		       ElfW(Addr) *reloc_addr, ElfW(Addr) value)
+{
+  return *reloc_addr = value;
+}
+
+static inline ElfW(Addr)
+elf_machine_plt_value (struct link_map *map, const ElfW(Rel) *reloc,
+		       ElfW(Addr) value)
+{
+  return value;
+}
+
 #endif /* !dl_machine_h */
 
 #ifdef RESOLVE_MAP
@@ -461,6 +490,57 @@ elf_machine_reloc (struct link_map *map,
 #endif
     case R_MIPS_NONE:		/* Alright, Wilbur.  */
       break;
+
+    case R_MIPS_JUMP_SLOT:
+      {
+	struct link_map *sym_map;
+	ElfW(Addr) value;
+
+	/* The addend for a jump slot relocation must always be zero:
+	   calls via the PLT always branch to the symbol's address and
+	   not to the address plus a non-zero offset.  */
+	if (r_addend != 0)
+	  _dl_signal_error (0, map->l_name, NULL,
+			    "found jump slot relocation with non-zero addend");
+
+	sym_map = RESOLVE_MAP (&sym, version, r_type);
+	value = sym_map == NULL ? 0 : sym_map->l_addr + sym->st_value;
+	*addr_field = value;
+
+	break;
+      }
+
+    case R_MIPS_COPY:
+      {
+	const ElfW(Sym) *const refsym = sym;
+	struct link_map *sym_map;
+	ElfW(Addr) value;
+
+	/* Calculate the address of the symbol.  */
+	sym_map = RESOLVE_MAP (&sym, version, r_type);
+	value = sym_map == NULL ? 0 : sym_map->l_addr + sym->st_value;
+
+	if (__builtin_expect (sym == NULL, 0))
+	  /* This can happen in trace mode if an object could not be
+	     found.  */
+	  break;
+	if (__builtin_expect (sym->st_size > refsym->st_size, 0)
+	    || (__builtin_expect (sym->st_size < refsym->st_size, 0)
+		&& GLRO(dl_verbose)))
+	  {
+	    const char *strtab;
+
+	    strtab = (const void *) D_PTR (map, l_info[DT_STRTAB]);
+	    _dl_error_printf ("\
+  %s: Symbol `%s' has different size in shared object, consider re-linking\n",
+			      rtld_progname ?: "<program name unknown>",
+			      strtab + refsym->st_name);
+	  }
+	memcpy (reloc_addr, (void *) value,
+	        MIN (sym->st_size, refsym->st_size));
+	break;
+      }
+
 #if _MIPS_SIM == _ABI64
     case R_MIPS_64:
       /* For full compliance with the ELF64 ABI, one must precede the
@@ -505,9 +585,23 @@ elf_machine_rel_relative (ElfW(Addr) l_a
 auto inline void
 __attribute__((always_inline))
 elf_machine_lazy_rel (struct link_map *map,
-		      ElfW(Addr) l_addr, const ElfW(Rela) *reloc)
+		      ElfW(Addr) l_addr, const ElfW(Rel) *reloc)
 {
-  /* Do nothing.  */
+  ElfW(Addr) *const reloc_addr = (void *) (l_addr + reloc->r_offset);
+  const unsigned int r_type = ELFW(R_TYPE) (reloc->r_info);
+  /* Check for unexpected PLT reloc type.  */
+  if (__builtin_expect (r_type == R_MIPS_JUMP_SLOT, 1))
+    {
+      if (__builtin_expect (map->l_mach.plt, 0) == 0)
+	{
+	  /* Nothing is required here since we only support lazy
+	     relocation in executables.  */
+	}
+      else
+	*reloc_addr = map->l_mach.plt;
+    }
+  else
+    _dl_reloc_bad_type (map, r_type, 1);
 }
 
 auto inline void
@@ -538,13 +632,13 @@ elf_machine_got_rel (struct link_map *ma
   const ElfW(Half) *vernum;
   int i, n, symidx;
 
-#define RESOLVE_GOTSYM(sym,vernum,sym_index)				  \
+#define RESOLVE_GOTSYM(sym,vernum,sym_index,reloc)			  \
     ({									  \
       const ElfW(Sym) *ref = sym;					  \
       const struct r_found_version *version				  \
         = vernum ? &map->l_versions[vernum[sym_index] & 0x7fff] : NULL;	  \
       struct link_map *sym_map;						  \
-      sym_map = RESOLVE_MAP (&ref, version, R_MIPS_REL32);		  \
+      sym_map = RESOLVE_MAP (&ref, version, reloc);			  \
       ref ? sym_map->l_addr + ref->st_value : 0;			  \
     })
 
@@ -585,25 +679,38 @@ elf_machine_got_rel (struct link_map *ma
     {
       if (sym->st_shndx == SHN_UNDEF)
 	{
-	  if (ELFW(ST_TYPE) (sym->st_info) == STT_FUNC
-	      && sym->st_value && lazy)
-	    *got = sym->st_value + map->l_addr;
+	  if (ELFW(ST_TYPE) (sym->st_info) == STT_FUNC && sym->st_value
+	      && !(sym->st_other & STO_MIPS_PLT))
+	    {
+	      if (lazy)
+		*got = sym->st_value + map->l_addr;
+	      else
+		/* This is a lazy-binding stub, so we don't need the
+		   canonical address.  */
+		*got = RESOLVE_GOTSYM (sym, vernum, symidx, R_MIPS_JUMP_SLOT);
+	    }
 	  else
-	    *got = RESOLVE_GOTSYM (sym, vernum, symidx);
+	    *got = RESOLVE_GOTSYM (sym, vernum, symidx, R_MIPS_32);
 	}
       else if (sym->st_shndx == SHN_COMMON)
-	*got = RESOLVE_GOTSYM (sym, vernum, symidx);
+	*got = RESOLVE_GOTSYM (sym, vernum, symidx, R_MIPS_32);
       else if (ELFW(ST_TYPE) (sym->st_info) == STT_FUNC
-	       && *got != sym->st_value
-	       && lazy)
-	*got += map->l_addr;
+	       && *got != sym->st_value)
+	{
+	  if (lazy)
+	    *got += map->l_addr;
+	  else
+	    /* This is a lazy-binding stub, so we don't need the
+	       canonical address.  */
+	    *got = RESOLVE_GOTSYM (sym, vernum, symidx, R_MIPS_JUMP_SLOT);
+	}
       else if (ELFW(ST_TYPE) (sym->st_info) == STT_SECTION)
 	{
 	  if (sym->st_other == 0)
 	    *got += map->l_addr;
 	}
       else
-	*got = RESOLVE_GOTSYM (sym, vernum, symidx);
+	*got = RESOLVE_GOTSYM (sym, vernum, symidx, R_MIPS_32);
 
       ++got;
       ++sym;
@@ -624,6 +731,7 @@ elf_machine_runtime_setup (struct link_m
 # ifndef RTLD_BOOTSTRAP
   ElfW(Addr) *got;
   extern void _dl_runtime_resolve (ElfW(Word));
+  extern void _dl_runtime_pltresolve (void);
   extern int _dl_mips_gnu_objects;
 
   if (lazy)
@@ -650,6 +758,20 @@ elf_machine_runtime_setup (struct link_m
   /* Relocate global offset table.  */
   elf_machine_got_rel (l, lazy);
 
+  /* If using PLTs, fill in the first two entries of .got.plt.  */
+  if (l->l_info[DT_JMPREL] && lazy)
+    {
+      ElfW(Addr) *gotplt;
+      gotplt = (ElfW(Addr) *) D_PTR (l, l_info[DT_MIPS (PLTGOT)]);
+      /* If a library is prelinked but we have to relocate anyway,
+	 we have to be able to undo the prelinking of .got.plt.
+	 The prelinker saved the address of .plt for us here.  */
+      if (gotplt[1])
+	l->l_mach.plt = gotplt[1] + l->l_addr;
+      gotplt[0] = (ElfW(Addr)) &_dl_runtime_pltresolve;
+      gotplt[1] = (ElfW(Addr)) l;
+    }
+
 # endif
   return lazy;
 }
Index: sysdeps/mips/dl-lookup.c
===================================================================
--- sysdeps/mips/dl-lookup.c	(revision 0)
+++ sysdeps/mips/dl-lookup.c	(revision 0)
@@ -0,0 +1,581 @@
+/* Look up a symbol in the loaded objects.
+   MIPS/Linux version - this is identical to the common version, but
+   because it is in sysdeps/mips, it gets sysdeps/mips/do-lookup.h.
+   Using <do-lookup.h> instead of "do-lookup.h" would work too.
+
+   Copyright (C) 1995-2005, 2006, 2007 Free Software Foundation, Inc.
+   This file is part of the GNU C Library.
+
+   The GNU C Library is free software; you can redistribute it and/or
+   modify it under the terms of the GNU Lesser General Public
+   License as published by the Free Software Foundation; either
+   version 2.1 of the License, or (at your option) any later version.
+
+   The GNU C Library is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+   Lesser General Public License for more details.
+
+   You should have received a copy of the GNU Lesser General Public
+   License along with the GNU C Library; if not, write to the Free
+   Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
+   02111-1307 USA.  */
+
+#include <alloca.h>
+#include <libintl.h>
+#include <stdlib.h>
+#include <string.h>
+#include <unistd.h>
+#include <ldsodefs.h>
+#include <dl-hash.h>
+#include <dl-machine.h>
+#include <sysdep-cancel.h>
+#include <bits/libc-lock.h>
+#include <tls.h>
+
+#include <assert.h>
+
+#define VERSTAG(tag)	(DT_NUM + DT_THISPROCNUM + DT_VERSIONTAGIDX (tag))
+
+/* We need this string more than once.  */
+static const char undefined_msg[] = "undefined symbol: ";
+
+
+struct sym_val
+  {
+    const ElfW(Sym) *s;
+    struct link_map *m;
+  };
+
+
+#define make_string(string, rest...) \
+  ({									      \
+    const char *all[] = { string, ## rest };				      \
+    size_t len, cnt;							      \
+    char *result, *cp;							      \
+									      \
+    len = 1;								      \
+    for (cnt = 0; cnt < sizeof (all) / sizeof (all[0]); ++cnt)		      \
+      len += strlen (all[cnt]);						      \
+									      \
+    cp = result = alloca (len);						      \
+    for (cnt = 0; cnt < sizeof (all) / sizeof (all[0]); ++cnt)		      \
+      cp = __stpcpy (cp, all[cnt]);					      \
+									      \
+    result;								      \
+  })
+
+/* Statistics function.  */
+#ifdef SHARED
+# define bump_num_relocations() ++GL(dl_num_relocations)
+#else
+# define bump_num_relocations() ((void) 0)
+#endif
+
+
+/* The actual lookup code.  */
+#include "do-lookup.h"
+
+
+static uint_fast32_t
+dl_new_hash (const char *s)
+{
+  uint_fast32_t h = 5381;
+  for (unsigned char c = *s; c != '\0'; c = *++s)
+    h = h * 33 + c;
+  return h & 0xffffffff;
+}
+
+
+/* Add extra dependency on MAP to UNDEF_MAP.  */
+static int
+internal_function
+add_dependency (struct link_map *undef_map, struct link_map *map, int flags)
+{
+  struct link_map *runp;
+  unsigned int i;
+  int result = 0;
+
+  /* Avoid self-references and references to objects which cannot be
+     unloaded anyway.  */
+  if (undef_map == map)
+    return 0;
+
+  /* Avoid references to objects which cannot be unloaded anyway.  */
+  assert (map->l_type == lt_loaded);
+  if ((map->l_flags_1 & DF_1_NODELETE) != 0)
+    return 0;
+
+  struct link_map_reldeps *l_reldeps
+    = atomic_forced_read (undef_map->l_reldeps);
+
+  /* Make sure l_reldeps is read before l_initfini.  */
+  atomic_read_barrier ();
+
+  /* Determine whether UNDEF_MAP already has a reference to MAP.  First
+     look in the normal dependencies.  */
+  struct link_map **l_initfini = atomic_forced_read (undef_map->l_initfini);
+  if (l_initfini != NULL)
+    {
+      for (i = 0; l_initfini[i] != NULL; ++i)
+	if (l_initfini[i] == map)
+	  return 0;
+    }
+
+  /* No normal dependency.  See whether we already had to add it
+     to the special list of dynamic dependencies.  */
+  unsigned int l_reldepsact = 0;
+  if (l_reldeps != NULL)
+    {
+      struct link_map **list = &l_reldeps->list[0];
+      l_reldepsact = l_reldeps->act;
+      for (i = 0; i < l_reldepsact; ++i)
+	if (list[i] == map)
+	  return 0;
+    }
+
+  /* Save serial number of the target MAP.  */
+  unsigned long long serial = map->l_serial;
+
+  /* Make sure nobody can unload the object while we are at it.  */
+  if (__builtin_expect (flags & DL_LOOKUP_GSCOPE_LOCK, 0))
+    {
+      /* We can't just call __rtld_lock_lock_recursive (GL(dl_load_lock))
+	 here, that can result in ABBA deadlock.  */
+      THREAD_GSCOPE_RESET_FLAG ();
+      __rtld_lock_lock_recursive (GL(dl_load_lock));
+      /* While MAP value won't change, after THREAD_GSCOPE_RESET_FLAG ()
+	 it can e.g. point to unallocated memory.  So avoid the optimizer
+	 treating the above read from MAP->l_serial as ensurance it
+	 can safely dereference it.  */
+      map = atomic_forced_read (map);
+
+      /* From this point on it is unsafe to dereference MAP, until it
+	 has been found in one of the lists.  */
+
+      /* Redo the l_initfini check in case undef_map's l_initfini
+	 changed in the mean time.  */
+      if (undef_map->l_initfini != l_initfini
+	  && undef_map->l_initfini != NULL)
+	{
+	  l_initfini = undef_map->l_initfini;
+	  for (i = 0; l_initfini[i] != NULL; ++i)
+	    if (l_initfini[i] == map)
+	      goto out_check;
+	}
+
+      /* Redo the l_reldeps check if undef_map's l_reldeps changed in
+	 the mean time.  */
+      if (undef_map->l_reldeps != NULL)
+	{
+	  if (undef_map->l_reldeps != l_reldeps)
+	    {
+	      struct link_map **list = &undef_map->l_reldeps->list[0];
+	      l_reldepsact = undef_map->l_reldeps->act;
+	      for (i = 0; i < l_reldepsact; ++i)
+		if (list[i] == map)
+		  goto out_check;
+	    }
+	  else if (undef_map->l_reldeps->act > l_reldepsact)
+	    {
+	      struct link_map **list
+		= &undef_map->l_reldeps->list[0];
+	      i = l_reldepsact;
+	      l_reldepsact = undef_map->l_reldeps->act;
+	      for (; i < l_reldepsact; ++i)
+		if (list[i] == map)
+		  goto out_check;
+	    }
+	}
+    }
+  else
+    __rtld_lock_lock_recursive (GL(dl_load_lock));
+
+  /* The object is not yet in the dependency list.  Before we add
+     it make sure just one more time the object we are about to
+     reference is still available.  There is a brief period in
+     which the object could have been removed since we found the
+     definition.  */
+  runp = GL(dl_ns)[undef_map->l_ns]._ns_loaded;
+  while (runp != NULL && runp != map)
+    runp = runp->l_next;
+
+  if (runp != NULL)
+    {
+      /* The object is still available.  */
+
+      /* MAP could have been dlclosed, freed and then some other dlopened
+	 library could have the same link_map pointer.  */
+      if (map->l_serial != serial)
+	goto out_check;
+
+      /* Redo the NODELETE check, as when dl_load_lock wasn't held
+	 yet this could have changed.  */
+      if ((map->l_flags_1 & DF_1_NODELETE) != 0)
+	goto out;
+
+      /* If the object with the undefined reference cannot be removed ever
+	 just make sure the same is true for the object which contains the
+	 definition.  */
+      if (undef_map->l_type != lt_loaded
+	  || (undef_map->l_flags_1 & DF_1_NODELETE) != 0)
+	{
+	  map->l_flags_1 |= DF_1_NODELETE;
+	  goto out;
+	}
+
+      /* Add the reference now.  */
+      if (__builtin_expect (l_reldepsact >= undef_map->l_reldepsmax, 0))
+	{
+	  /* Allocate more memory for the dependency list.  Since this
+	     can never happen during the startup phase we can use
+	     `realloc'.  */
+	  struct link_map_reldeps *newp;
+	  unsigned int max
+	    = undef_map->l_reldepsmax ? undef_map->l_reldepsmax * 2 : 10;
+
+	  newp = malloc (sizeof (*newp) + max * sizeof (struct link_map *));
+	  if (newp == NULL)
+	    {
+	      /* If we didn't manage to allocate memory for the list this is
+		 no fatal problem.  We simply make sure the referenced object
+		 cannot be unloaded.  This is semantically the correct
+		 behavior.  */
+	      map->l_flags_1 |= DF_1_NODELETE;
+	      goto out;
+	    }
+	  else
+	    {
+	      if (l_reldepsact)
+		memcpy (&newp->list[0], &undef_map->l_reldeps->list[0],
+			l_reldepsact * sizeof (struct link_map *));
+	      newp->list[l_reldepsact] = map;
+	      newp->act = l_reldepsact + 1;
+	      atomic_write_barrier ();
+	      void *old = undef_map->l_reldeps;
+	      undef_map->l_reldeps = newp;
+	      undef_map->l_reldepsmax = max;
+	      if (old)
+		_dl_scope_free (old);
+	    }
+	}
+      else
+	{
+	  undef_map->l_reldeps->list[l_reldepsact] = map;
+	  atomic_write_barrier ();
+	  undef_map->l_reldeps->act = l_reldepsact + 1;
+	}
+
+      /* Display information if we are debugging.  */
+      if (__builtin_expect (GLRO(dl_debug_mask) & DL_DEBUG_FILES, 0))
+	_dl_debug_printf ("\
+\nfile=%s [%lu];  needed by %s [%lu] (relocation dependency)\n\n",
+			  map->l_name[0] ? map->l_name : rtld_progname,
+			  map->l_ns,
+			  undef_map->l_name[0]
+			  ? undef_map->l_name : rtld_progname,
+			  undef_map->l_ns);
+    }
+  else
+    /* Whoa, that was bad luck.  We have to search again.  */
+    result = -1;
+
+ out:
+  /* Release the lock.  */
+  __rtld_lock_unlock_recursive (GL(dl_load_lock));
+
+  if (__builtin_expect (flags & DL_LOOKUP_GSCOPE_LOCK, 0))
+    THREAD_GSCOPE_SET_FLAG ();
+
+  return result;
+
+ out_check:
+  if (map->l_serial != serial)
+    result = -1;
+  goto out;
+}
+
+static void
+internal_function
+_dl_debug_bindings (const char *undef_name, struct link_map *undef_map,
+		    const ElfW(Sym) **ref, struct sym_val *value,
+		    const struct r_found_version *version, int type_class,
+		    int protected);
+
+
+/* Search loaded objects' symbol tables for a definition of the symbol
+   UNDEF_NAME, perhaps with a requested version for the symbol.
+
+   We must never have calls to the audit functions inside this function
+   or in any function which gets called.  If this would happen the audit
+   code might create a thread which can throw off all the scope locking.  */
+lookup_t
+internal_function
+_dl_lookup_symbol_x (const char *undef_name, struct link_map *undef_map,
+		     const ElfW(Sym) **ref,
+		     struct r_scope_elem *symbol_scope[],
+		     const struct r_found_version *version,
+		     int type_class, int flags, struct link_map *skip_map)
+{
+  const uint_fast32_t new_hash = dl_new_hash (undef_name);
+  unsigned long int old_hash = 0xffffffff;
+  struct sym_val current_value = { NULL, NULL };
+  struct r_scope_elem **scope = symbol_scope;
+
+  bump_num_relocations ();
+
+  /* No other flag than DL_LOOKUP_ADD_DEPENDENCY or DL_LOOKUP_GSCOPE_LOCK
+     is allowed if we look up a versioned symbol.  */
+  assert (version == NULL
+	  || (flags & ~(DL_LOOKUP_ADD_DEPENDENCY | DL_LOOKUP_GSCOPE_LOCK))
+	     == 0);
+
+  size_t i = 0;
+  if (__builtin_expect (skip_map != NULL, 0))
+    /* Search the relevant loaded objects for a definition.  */
+    while ((*scope)->r_list[i] != skip_map)
+      ++i;
+
+  /* Search the relevant loaded objects for a definition.  */
+  for (size_t start = i; *scope != NULL; start = 0, ++scope)
+    {
+      int res = do_lookup_x (undef_name, new_hash, &old_hash, *ref,
+			     &current_value, *scope, start, version, flags,
+			     skip_map, type_class);
+      if (res > 0)
+	break;
+
+      if (__builtin_expect (res, 0) < 0 && skip_map == NULL)
+	{
+	  /* Oh, oh.  The file named in the relocation entry does not
+	     contain the needed symbol.  This code is never reached
+	     for unversioned lookups.  */
+	  assert (version != NULL);
+	  const char *reference_name = undef_map ? undef_map->l_name : NULL;
+
+	  /* XXX We cannot translate the message.  */
+	  _dl_signal_cerror (0, (reference_name[0]
+				 ? reference_name
+				 : (rtld_progname ?: "<main program>")),
+			     N_("relocation error"),
+			     make_string ("symbol ", undef_name, ", version ",
+					  version->name,
+					  " not defined in file ",
+					  version->filename,
+					  " with link time reference",
+					  res == -2
+					  ? " (no version symbols)" : ""));
+	  *ref = NULL;
+	  return 0;
+	}
+    }
+
+  if (__builtin_expect (current_value.s == NULL, 0))
+    {
+      if ((*ref == NULL || ELFW(ST_BIND) ((*ref)->st_info) != STB_WEAK)
+	  && skip_map == NULL)
+	{
+	  /* We could find no value for a strong reference.  */
+	  const char *reference_name = undef_map ? undef_map->l_name : "";
+	  const char *versionstr = version ? ", version " : "";
+	  const char *versionname = (version && version->name
+				     ? version->name : "");
+
+	  /* XXX We cannot translate the message.  */
+	  _dl_signal_cerror (0, (reference_name[0]
+				 ? reference_name
+				 : (rtld_progname ?: "<main program>")),
+			     N_("symbol lookup error"),
+			     make_string (undefined_msg, undef_name,
+					  versionstr, versionname));
+	}
+      *ref = NULL;
+      return 0;
+    }
+
+  int protected = (*ref
+		   && ELFW(ST_VISIBILITY) ((*ref)->st_other) == STV_PROTECTED);
+  if (__builtin_expect (protected != 0, 0))
+    {
+      /* It is very tricky.  We need to figure out what value to
+         return for the protected symbol.  */
+      if (type_class == ELF_RTYPE_CLASS_PLT)
+	{
+	  if (current_value.s != NULL && current_value.m != undef_map)
+	    {
+	      current_value.s = *ref;
+	      current_value.m = undef_map;
+	    }
+	}
+      else
+	{
+	  struct sym_val protected_value = { NULL, NULL };
+
+	  for (scope = symbol_scope; *scope != NULL; i = 0, ++scope)
+	    if (do_lookup_x (undef_name, new_hash, &old_hash, *ref,
+			     &protected_value, *scope, i, version, flags,
+			     skip_map, ELF_RTYPE_CLASS_PLT) != 0)
+	      break;
+
+	  if (protected_value.s != NULL && protected_value.m != undef_map)
+	    {
+	      current_value.s = *ref;
+	      current_value.m = undef_map;
+	    }
+	}
+    }
+
+  /* We have to check whether this would bind UNDEF_MAP to an object
+     in the global scope which was dynamically loaded.  In this case
+     we have to prevent the latter from being unloaded unless the
+     UNDEF_MAP object is also unloaded.  */
+  if (__builtin_expect (current_value.m->l_type == lt_loaded, 0)
+      /* Don't do this for explicit lookups as opposed to implicit
+	 runtime lookups.  */
+      && (flags & DL_LOOKUP_ADD_DEPENDENCY) != 0
+      /* Add UNDEF_MAP to the dependencies.  */
+      && add_dependency (undef_map, current_value.m, flags) < 0)
+      /* Something went wrong.  Perhaps the object we tried to reference
+	 was just removed.  Try finding another definition.  */
+      return _dl_lookup_symbol_x (undef_name, undef_map, ref,
+				  (flags & DL_LOOKUP_GSCOPE_LOCK)
+				  ? undef_map->l_scope : symbol_scope,
+				  version, type_class, flags, skip_map);
+
+  /* The object is used.  */
+  current_value.m->l_used = 1;
+
+  if (__builtin_expect (GLRO(dl_debug_mask)
+			& (DL_DEBUG_BINDINGS|DL_DEBUG_PRELINK), 0))
+    _dl_debug_bindings (undef_name, undef_map, ref,
+			&current_value, version, type_class, protected);
+
+  *ref = current_value.s;
+  return LOOKUP_VALUE (current_value.m);
+}
+
+
+/* Cache the location of MAP's hash table.  */
+
+void
+internal_function
+_dl_setup_hash (struct link_map *map)
+{
+  Elf_Symndx *hash;
+  Elf_Symndx nchain;
+
+  if (__builtin_expect (map->l_info[DT_ADDRTAGIDX (DT_GNU_HASH) + DT_NUM
+  				    + DT_THISPROCNUM + DT_VERSIONTAGNUM
+				    + DT_EXTRANUM + DT_VALNUM] != NULL, 1))
+    {
+      Elf32_Word *hash32
+	= (void *) D_PTR (map, l_info[DT_ADDRTAGIDX (DT_GNU_HASH) + DT_NUM
+				      + DT_THISPROCNUM + DT_VERSIONTAGNUM
+				      + DT_EXTRANUM + DT_VALNUM]);
+      map->l_nbuckets = *hash32++;
+      Elf32_Word symbias = *hash32++;
+      Elf32_Word bitmask_nwords = *hash32++;
+      /* Must be a power of two.  */
+      assert ((bitmask_nwords & (bitmask_nwords - 1)) == 0);
+      map->l_gnu_bitmask_idxbits = bitmask_nwords - 1;
+      map->l_gnu_shift = *hash32++;
+
+      map->l_gnu_bitmask = (ElfW(Addr) *) hash32;
+      hash32 += __ELF_NATIVE_CLASS / 32 * bitmask_nwords;
+
+      map->l_gnu_buckets = hash32;
+      hash32 += map->l_nbuckets;
+      map->l_gnu_chain_zero = hash32 - symbias;
+      return;
+    }
+
+  if (!map->l_info[DT_HASH])
+    return;
+  hash = (void *) D_PTR (map, l_info[DT_HASH]);
+
+  map->l_nbuckets = *hash++;
+  nchain = *hash++;
+  map->l_buckets = hash;
+  hash += map->l_nbuckets;
+  map->l_chain = hash;
+}
+
+
+static void
+internal_function
+_dl_debug_bindings (const char *undef_name, struct link_map *undef_map,
+		    const ElfW(Sym) **ref, struct sym_val *value,
+		    const struct r_found_version *version, int type_class,
+		    int protected)
+{
+  const char *reference_name = undef_map->l_name;
+
+  if (GLRO(dl_debug_mask) & DL_DEBUG_BINDINGS)
+    {
+      _dl_debug_printf ("binding file %s [%lu] to %s [%lu]: %s symbol `%s'",
+			(reference_name[0]
+			 ? reference_name
+			 : (rtld_progname ?: "<main program>")),
+			undef_map->l_ns,
+			value->m->l_name[0] ? value->m->l_name : rtld_progname,
+			value->m->l_ns,
+			protected ? "protected" : "normal", undef_name);
+      if (version)
+	_dl_debug_printf_c (" [%s]\n", version->name);
+      else
+	_dl_debug_printf_c ("\n");
+    }
+#ifdef SHARED
+  if (GLRO(dl_debug_mask) & DL_DEBUG_PRELINK)
+    {
+      int conflict = 0;
+      struct sym_val val = { NULL, NULL };
+
+      if ((GLRO(dl_trace_prelink_map) == NULL
+	   || GLRO(dl_trace_prelink_map) == GL(dl_ns)[LM_ID_BASE]._ns_loaded)
+	  && undef_map != GL(dl_ns)[LM_ID_BASE]._ns_loaded)
+	{
+	  const uint_fast32_t new_hash = dl_new_hash (undef_name);
+	  unsigned long int old_hash = 0xffffffff;
+
+	  do_lookup_x (undef_name, new_hash, &old_hash, *ref, &val,
+		       undef_map->l_local_scope[0], 0, version, 0, NULL,
+		       type_class);
+
+	  if (val.s != value->s || val.m != value->m)
+	    conflict = 1;
+	}
+
+      if (value->s
+	  && (__builtin_expect (ELFW(ST_TYPE) (value->s->st_info)
+				== STT_TLS, 0)))
+	type_class = 4;
+
+      if (conflict
+	  || GLRO(dl_trace_prelink_map) == undef_map
+	  || GLRO(dl_trace_prelink_map) == NULL
+	  || type_class == 4)
+	{
+	  _dl_printf ("%s 0x%0*Zx 0x%0*Zx -> 0x%0*Zx 0x%0*Zx ",
+		      conflict ? "conflict" : "lookup",
+		      (int) sizeof (ElfW(Addr)) * 2,
+		      (size_t) undef_map->l_map_start,
+		      (int) sizeof (ElfW(Addr)) * 2,
+		      (size_t) (((ElfW(Addr)) *ref) - undef_map->l_map_start),
+		      (int) sizeof (ElfW(Addr)) * 2,
+		      (size_t) (value->s ? value->m->l_map_start : 0),
+		      (int) sizeof (ElfW(Addr)) * 2,
+		      (size_t) (value->s ? value->s->st_value : 0));
+
+	  if (conflict)
+	    _dl_printf ("x 0x%0*Zx 0x%0*Zx ",
+			(int) sizeof (ElfW(Addr)) * 2,
+			(size_t) (val.s ? val.m->l_map_start : 0),
+			(int) sizeof (ElfW(Addr)) * 2,
+			(size_t) (val.s ? val.s->st_value : 0));
+
+	  _dl_printf ("/%x %s\n", type_class, undef_name);
+	}
+    }
+#endif
+}
Index: sysdeps/mips/dl-trampoline.c
===================================================================
--- sysdeps/mips/dl-trampoline.c	(revision 213009)
+++ sysdeps/mips/dl-trampoline.c	(working copy)
@@ -201,6 +201,7 @@ __dl_runtime_resolve (ElfW(Word) sym_ind
 "
 
 #define IFABIO32(X) X
+#define IFNEWABI(X)
 
 #else /* _MIPS_SIM == _ABIN32 || _MIPS_SIM == _ABI64 */
 
@@ -231,6 +232,7 @@ __dl_runtime_resolve (ElfW(Word) sym_ind
 "
 
 #define IFABIO32(X)
+#define IFNEWABI(X) X
 
 #endif
 
@@ -270,3 +272,57 @@ _dl_runtime_resolve:\n\
 	.end	_dl_runtime_resolve\n\
 	.previous\n\
 ");
+
+/* Assembler veneer called from the PLT header code when using PLTs.
+
+   Code in each PLT entry and the PLT header fills in the arguments to
+   this function:
+
+   - $15 (o32 t7, n32/n64 t3) - caller's return address
+   - $24 (t8) - PLT entry index
+   - $25 (t9) - address of _dl_runtime_pltresolve
+   - o32 $28 (gp), n32/n64 $14 (t2) - address of .got.plt
+
+   Different registers are used for .got.plt because the ABI was
+   originally designed for o32, where gp was available (call
+   clobbered).  On n32/n64 gp is call saved.
+
+   _dl_fixup needs:
+
+   - $4 (a0) - link map address
+   - $5 (a1) - .rel.plt offset (== PLT entry index * 8)  */
+
+asm ("\n\
+	.text\n\
+	.align	2\n\
+	.globl	_dl_runtime_pltresolve\n\
+	.type	_dl_runtime_pltresolve,@function\n\
+	.ent	_dl_runtime_pltresolve\n\
+_dl_runtime_pltresolve:\n\
+	.frame	$29, " STRINGXP(ELF_DL_FRAME_SIZE) ", $31\n\
+	.set noreorder\n\
+	# Save arguments and sp value in stack.\n\
+	" STRINGXP(PTR_SUBIU) "  $29, " STRINGXP(ELF_DL_FRAME_SIZE) "\n\
+        " IFABIO32(STRINGXP(PTR_L) "     $10, " STRINGXP(PTRSIZE) "($28)") "\n\
+        " IFNEWABI(STRINGXP(PTR_L) "     $10, " STRINGXP(PTRSIZE) "($14)") "\n\
+	# Modify t9 ($25) so as to point .cpload instruction.\n\
+	" IFABIO32(STRINGXP(PTR_ADDIU) "	$25, 12\n") "\
+	# Compute GP.\n\
+	" STRINGXP(SETUP_GP) "\n\
+	" STRINGXV(SETUP_GP64 (0, _dl_runtime_pltresolve)) "\n\
+	.set reorder\n\
+	" IFABIO32(STRINGXP(CPRESTORE(32))) "\n\
+	" ELF_DL_SAVE_ARG_REGS "\
+	move	$4, $10\n\
+        " IFABIO32("sll     $5, $24, 3") "\n\
+        " IFNEWABI("sll     $5, $24, 4") "\n\
+	jal	_dl_fixup\n\
+	" ELF_DL_RESTORE_ARG_REGS "\
+	" STRINGXP(RESTORE_GP64) "\n\
+	" STRINGXP(PTR_ADDIU) "	$29, " STRINGXP(ELF_DL_FRAME_SIZE) "\n\
+	move	$25, $2\n\
+	jr	$25\n\
+	.end	_dl_runtime_pltresolve\n\
+	.previous\n\
+");
+
Index: sysdeps/mips/bits/linkmap.h
===================================================================
--- sysdeps/mips/bits/linkmap.h	(revision 0)
+++ sysdeps/mips/bits/linkmap.h	(revision 0)
@@ -0,0 +1,4 @@
+struct link_map_machine
+  {
+    ElfW(Addr) plt; /* Address of .plt */
+  };

--IS0zKkzwUGydFO0o
Content-Type: text/x-diff; charset=us-ascii
Content-Disposition: attachment; filename="glibc-relocs.patch"

2008-03-14  Mark Shinwell  <shinwell@codesourcery.com>

	* elf/elf.h (STO_MIPS_PLT): New.
	(R_MIPS_COPY): New.
	(R_MIPS_JUMP_SLOT): New.
	(R_MIPS_NUM): Redefine to 128.
	(DT_MIPS_PLTGOT): New.
	(DT_MIPS_RWPLT): New.
	(DT_MIPS_NUM): Redefine to 0x35.

Index: elf/elf.h
===================================================================
--- elf/elf.h	(revision 213009)
+++ elf/elf.h	(working copy)
@@ -1395,6 +1395,7 @@ typedef struct
 #define STO_MIPS_INTERNAL		0x1
 #define STO_MIPS_HIDDEN			0x2
 #define STO_MIPS_PROTECTED		0x3
+#define STO_MIPS_PLT			0x8
 #define STO_MIPS_SC_ALIGN_UNUSED	0xff
 
 /* MIPS specific values for `st_info'.  */
@@ -1541,8 +1542,10 @@ typedef struct
 #define R_MIPS_TLS_TPREL_HI16	49	/* TP-relative offset, high 16 bits */
 #define R_MIPS_TLS_TPREL_LO16	50	/* TP-relative offset, low 16 bits */
 #define R_MIPS_GLOB_DAT		51
+#define R_MIPS_COPY		126
+#define R_MIPS_JUMP_SLOT        127
 /* Keep this the last entry.  */
-#define R_MIPS_NUM		52
+#define R_MIPS_NUM		128
 
 /* Legal values for p_type field of Elf32_Phdr.  */
 
@@ -1608,7 +1611,13 @@ typedef struct
 #define DT_MIPS_COMPACT_SIZE 0x7000002f /* (O32)Size of compact rel section. */
 #define DT_MIPS_GP_VALUE     0x70000030 /* GP value for aux GOTs.  */
 #define DT_MIPS_AUX_DYNAMIC  0x70000031 /* Address of aux .dynamic.  */
-#define DT_MIPS_NUM	     0x32
+/* The address of .got.plt in an executable using the new non-PIC ABI.  */
+#define DT_MIPS_PLTGOT	     0x70000032
+/* The base of the PLT in an executable using the new non-PIC ABI if that
+   PLT is writable.  For a non-writable PLT, this is omitted or has a zero
+   value.  */
+#define DT_MIPS_RWPLT        0x70000034
+#define DT_MIPS_NUM	     0x35
 
 /* Legal values for DT_MIPS_FLAGS Elf32_Dyn entry.  */
 

--IS0zKkzwUGydFO0o
Content-Type: text/x-diff; charset=us-ascii
Content-Disposition: attachment; filename="glibc-longlong.patch"

2008-06-27  Daniel Jacobowitz  <dan@codesourcery.com>

	* longlong.h: Update from GCC.

Index: stdlib/longlong.h
===================================================================
RCS file: /cvs/glibc/libc/stdlib/longlong.h,v
retrieving revision 1.31
diff -u -p -r1.31 longlong.h
--- stdlib/longlong.h	15 May 2006 20:25:33 -0000	1.31
+++ stdlib/longlong.h	27 Jun 2008 13:05:23 -0000
@@ -229,6 +229,19 @@ UDItype __umulsidi3 (USItype, USItype);
 #define UDIV_TIME 100
 #endif /* __arm__ */
 
+#if defined(__arm__)
+/* Let gcc decide how best to implement count_leading_zeros.  */
+#define count_leading_zeros(COUNT,X)	((COUNT) = __builtin_clz (X))
+#define COUNT_LEADING_ZEROS_0 32
+#endif
+
+#if defined (__CRIS__) && __CRIS_arch_version >= 3
+#define count_leading_zeros(COUNT, X) ((COUNT) = __builtin_clz (X))
+#if __CRIS_arch_version >= 8
+#define count_trailing_zeros(COUNT, X) ((COUNT) = __builtin_ctz (X))
+#endif
+#endif /* __CRIS__ */
+
 #if defined (__hppa) && W_TYPE_SIZE == 32
 #define add_ssaaaa(sh, sl, ah, al, bh, bl) \
   __asm__ ("add %4,%5,%1\n\taddc %2,%3,%0"				\
@@ -315,7 +328,7 @@ UDItype __umulsidi3 (USItype, USItype);
 
 #if (defined (__i386__) || defined (__i486__)) && W_TYPE_SIZE == 32
 #define add_ssaaaa(sh, sl, ah, al, bh, bl) \
-  __asm__ ("addl %5,%1\n\tadcl %3,%0"					\
+  __asm__ ("add{l} {%5,%1|%1,%5}\n\tadc{l} {%3,%0|%0,%3}"		\
 	   : "=r" ((USItype) (sh)),					\
 	     "=&r" ((USItype) (sl))					\
 	   : "%0" ((USItype) (ah)),					\
@@ -323,7 +336,7 @@ UDItype __umulsidi3 (USItype, USItype);
 	     "%1" ((USItype) (al)),					\
 	     "g" ((USItype) (bl)))
 #define sub_ddmmss(sh, sl, ah, al, bh, bl) \
-  __asm__ ("subl %5,%1\n\tsbbl %3,%0"					\
+  __asm__ ("sub{l} {%5,%1|%1,%5}\n\tsbb{l} {%3,%0|%0,%3}"		\
 	   : "=r" ((USItype) (sh)),					\
 	     "=&r" ((USItype) (sl))					\
 	   : "0" ((USItype) (ah)),					\
@@ -331,31 +344,60 @@ UDItype __umulsidi3 (USItype, USItype);
 	     "1" ((USItype) (al)),					\
 	     "g" ((USItype) (bl)))
 #define umul_ppmm(w1, w0, u, v) \
-  __asm__ ("mull %3"							\
+  __asm__ ("mul{l} %3"							\
 	   : "=a" ((USItype) (w0)),					\
 	     "=d" ((USItype) (w1))					\
 	   : "%0" ((USItype) (u)),					\
 	     "rm" ((USItype) (v)))
 #define udiv_qrnnd(q, r, n1, n0, dv) \
-  __asm__ ("divl %4"							\
+  __asm__ ("div{l} %4"							\
 	   : "=a" ((USItype) (q)),					\
 	     "=d" ((USItype) (r))					\
 	   : "0" ((USItype) (n0)),					\
 	     "1" ((USItype) (n1)),					\
 	     "rm" ((USItype) (dv)))
-#define count_leading_zeros(count, x) \
-  do {									\
-    USItype __cbtmp;							\
-    __asm__ ("bsrl %1,%0"						\
-	     : "=r" (__cbtmp) : "rm" ((USItype) (x)));			\
-    (count) = __cbtmp ^ 31;						\
-  } while (0)
-#define count_trailing_zeros(count, x) \
-  __asm__ ("bsfl %1,%0" : "=r" (count) : "rm" ((USItype)(x)))
+#define count_leading_zeros(count, x)	((count) = __builtin_clz (x))
+#define count_trailing_zeros(count, x)	((count) = __builtin_ctz (x))
 #define UMUL_TIME 40
 #define UDIV_TIME 40
 #endif /* 80x86 */
 
+#if (defined (__x86_64__) || defined (__i386__)) && W_TYPE_SIZE == 64
+#define add_ssaaaa(sh, sl, ah, al, bh, bl) \
+  __asm__ ("add{q} {%5,%1|%1,%5}\n\tadc{q} {%3,%0|%0,%3}"		\
+	   : "=r" ((UDItype) (sh)),					\
+	     "=&r" ((UDItype) (sl))					\
+	   : "%0" ((UDItype) (ah)),					\
+	     "rme" ((UDItype) (bh)),					\
+	     "%1" ((UDItype) (al)),					\
+	     "rme" ((UDItype) (bl)))
+#define sub_ddmmss(sh, sl, ah, al, bh, bl) \
+  __asm__ ("sub{q} {%5,%1|%1,%5}\n\tsbb{q} {%3,%0|%0,%3}"		\
+	   : "=r" ((UDItype) (sh)),					\
+	     "=&r" ((UDItype) (sl))					\
+	   : "0" ((UDItype) (ah)),					\
+	     "rme" ((UDItype) (bh)),					\
+	     "1" ((UDItype) (al)),					\
+	     "rme" ((UDItype) (bl)))
+#define umul_ppmm(w1, w0, u, v) \
+  __asm__ ("mul{q} %3"							\
+	   : "=a" ((UDItype) (w0)),					\
+	     "=d" ((UDItype) (w1))					\
+	   : "%0" ((UDItype) (u)),					\
+	     "rm" ((UDItype) (v)))
+#define udiv_qrnnd(q, r, n1, n0, dv) \
+  __asm__ ("div{q} %4"							\
+	   : "=a" ((UDItype) (q)),					\
+	     "=d" ((UDItype) (r))					\
+	   : "0" ((UDItype) (n0)),					\
+	     "1" ((UDItype) (n1)),					\
+	     "rm" ((UDItype) (dv)))
+#define count_leading_zeros(count, x)	((count) = __builtin_clzl (x))
+#define count_trailing_zeros(count, x)	((count) = __builtin_ctzl (x))
+#define UMUL_TIME 40
+#define UDIV_TIME 40
+#endif /* x86_64 */
+
 #if defined (__i960__) && W_TYPE_SIZE == 32
 #define umul_ppmm(w1, w0, u, v) \
   ({union {UDItype __ll;						\
@@ -523,6 +565,11 @@ UDItype __umulsidi3 (USItype, USItype);
   __asm__ ("bfffo %1{%b2:%b2},%0"					\
 	   : "=d" ((USItype) (count))					\
 	   : "od" ((USItype) (x)), "n" (0))
+/* Some ColdFire architectures have a ff1 instruction supported via
+   __builtin_clz. */
+#elif defined (__mcfisaaplus__) || defined (__mcfisac__)
+#define count_leading_zeros(count,x) ((count) = __builtin_clz (x))
+#define COUNT_LEADING_ZEROS_0 32
 #endif
 #endif /* mc68000 */
 
@@ -585,14 +632,19 @@ UDItype __umulsidi3 (USItype, USItype);
 #endif /* __m88000__ */
 
 #if defined (__mips__) && W_TYPE_SIZE == 32
-#define umul_ppmm(w1, w0, u, v) \
-  __asm__ ("multu %2,%3"						\
-	   : "=l" ((USItype) (w0)),					\
-	     "=h" ((USItype) (w1))					\
-	   : "d" ((USItype) (u)),					\
-	     "d" ((USItype) (v)))
+#define umul_ppmm(w1, w0, u, v)						\
+  do {									\
+    UDItype __x = (UDItype) (USItype) (u) * (USItype) (v);		\
+    (w1) = (USItype) (__x >> 32);					\
+    (w0) = (USItype) (__x);						\
+  } while (0)
 #define UMUL_TIME 10
 #define UDIV_TIME 100
+
+#if (__mips == 32 || __mips == 64) && ! __mips16
+#define count_leading_zeros(COUNT,X)	((COUNT) = __builtin_clz (X))
+#define COUNT_LEADING_ZEROS_0 32
+#endif
 #endif /* __mips__ */
 
 #if defined (__ns32000__) && W_TYPE_SIZE == 32
@@ -641,7 +693,9 @@ UDItype __umulsidi3 (USItype, USItype);
      || defined (__powerpc__)	/* gcc */				\
      || defined (__POWERPC__)	/* BEOS */				\
      || defined (__ppc__)	/* Darwin */				\
-     || defined (PPC)		/* GNU/Linux, SysV */			\
+     || (defined (PPC) && ! defined (CPU_FAMILY)) /* gcc 2.7.x GNU&SysV */    \
+     || (defined (PPC) && defined (CPU_FAMILY)    /* VxWorks */               \
+         && CPU_FAMILY == PPC)                                                \
      ) && W_TYPE_SIZE == 32
 #define add_ssaaaa(sh, sl, ah, al, bh, bl) \
   do {									\
@@ -679,7 +733,10 @@ UDItype __umulsidi3 (USItype, USItype);
   __asm__ ("{cntlz|cntlzw} %0,%1" : "=r" (count) : "r" (x))
 #define COUNT_LEADING_ZEROS_0 32
 #if defined (_ARCH_PPC) || defined (__powerpc__) || defined (__POWERPC__) \
-  || defined (__ppc__) || defined (PPC)
+  || defined (__ppc__)                                                    \
+  || (defined (PPC) && ! defined (CPU_FAMILY)) /* gcc 2.7.x GNU&SysV */       \
+  || (defined (PPC) && defined (CPU_FAMILY)    /* VxWorks */                  \
+         && CPU_FAMILY == PPC)
 #define umul_ppmm(ph, pl, m0, m1) \
   do {									\
     USItype __m0 = (m0), __m1 = (m1);					\
@@ -828,18 +885,51 @@ UDItype __umulsidi3 (USItype, USItype);
   } while (0)
 #endif
 
-#if defined (__sh2__) && W_TYPE_SIZE == 32
+#if defined(__sh__) && !__SHMEDIA__ && W_TYPE_SIZE == 32
+#ifndef __sh1__
 #define umul_ppmm(w1, w0, u, v) \
   __asm__ (								\
-       "dmulu.l	%2,%3\n\tsts	macl,%1\n\tsts	mach,%0"		\
-	   : "=r" ((USItype)(w1)),					\
-	     "=r" ((USItype)(w0))					\
+       "dmulu.l	%2,%3\n\tsts%M1	macl,%1\n\tsts%M0	mach,%0"	\
+	   : "=r<" ((USItype)(w1)),					\
+	     "=r<" ((USItype)(w0))					\
 	   : "r" ((USItype)(u)),					\
 	     "r" ((USItype)(v))						\
 	   : "macl", "mach")
 #define UMUL_TIME 5
 #endif
 
+/* This is the same algorithm as __udiv_qrnnd_c.  */
+#define UDIV_NEEDS_NORMALIZATION 1
+
+#define udiv_qrnnd(q, r, n1, n0, d) \
+  do {									\
+    extern UWtype __udiv_qrnnd_16 (UWtype, UWtype)			\
+                        __attribute__ ((visibility ("hidden")));	\
+    /* r0: rn r1: qn */ /* r0: n1 r4: n0 r5: d r6: d1 */ /* r2: __m */	\
+    __asm__ (								\
+	"mov%M4 %4,r5\n"						\
+"	swap.w %3,r4\n"							\
+"	swap.w r5,r6\n"							\
+"	jsr @%5\n"							\
+"	shll16 r6\n"							\
+"	swap.w r4,r4\n"							\
+"	jsr @%5\n"							\
+"	swap.w r1,%0\n"							\
+"	or r1,%0"							\
+	: "=r" (q), "=&z" (r)						\
+	: "1" (n1), "r" (n0), "rm" (d), "r" (&__udiv_qrnnd_16)		\
+	: "r1", "r2", "r4", "r5", "r6", "pr");				\
+  } while (0)
+
+#define UDIV_TIME 80
+
+#define sub_ddmmss(sh, sl, ah, al, bh, bl)				\
+  __asm__ ("clrt;subc %5,%1; subc %4,%0"				\
+	   : "=r" (sh), "=r" (sl)					\
+	   : "0" (ah), "1" (al), "r" (bh), "r" (bl))
+
+#endif /* __sh__ */
+
 #if defined (__SH5__) && __SHMEDIA__ && W_TYPE_SIZE == 32
 #define __umulsidi3(u,v) ((UDItype)(USItype)u*(USItype)v)
 #define count_leading_zeros(count, x) \
@@ -1153,6 +1243,23 @@ UDItype __umulsidi3 (USItype, USItype);
   } while (0)
 #endif /* __vax__ */
 
+#if defined (__xtensa__) && W_TYPE_SIZE == 32
+/* This code is not Xtensa-configuration-specific, so rely on the compiler
+   to expand builtin functions depending on what configuration features
+   are available.  This avoids library calls when the operation can be
+   performed in-line.  */
+#define umul_ppmm(w1, w0, u, v)						\
+  do {									\
+    DWunion __w;							\
+    __w.ll = __builtin_umulsidi3 (u, v);				\
+    w1 = __w.s.high;							\
+    w0 = __w.s.low;							\
+  } while (0)
+#define __umulsidi3(u, v)		__builtin_umulsidi3 (u, v)
+#define count_leading_zeros(COUNT, X)	((COUNT) = __builtin_clz (X))
+#define count_trailing_zeros(COUNT, X)	((COUNT) = __builtin_ctz (X))
+#endif /* __xtensa__ */
+
 #if defined (__z8000__) && W_TYPE_SIZE == 16
 #define add_ssaaaa(sh, sl, ah, al, bh, bl) \
   __asm__ ("add	%H1,%H5\n\tadc	%H0,%H3"				\

--IS0zKkzwUGydFO0o--