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* [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
@ 2022-12-16 16:19 Tobias Burnus
  2022-12-19 12:04 ` Thomas Schwinge
  0 siblings, 1 reply; 4+ messages in thread
From: Tobias Burnus @ 2022-12-16 16:19 UTC (permalink / raw)
  To: gcc-patches, Thomas Schwinge, Tom de Vries, Jakub Jelinek

[-- Attachment #1: Type: text/plain, Size: 640 bytes --]

Seems to be a CUDA JIT issue - which is fixed by adding a dummy procedure.

Lightly tested with 4 systems at hand, where 2 failed before. One had 10.2 and
the other had some ancient CUDA where 'nvptx-smi' did not print a CUDA version
and requires -mptx=3.1.
(I did check that offloading indeed happened and no hostfallback was done.)

OK for mainline?

Tobias
-----------------
Siemens Electronic Design Automation GmbH; Anschrift: Arnulfstraße 201, 80634 München; Gesellschaft mit beschränkter Haftung; Geschäftsführer: Thomas Heurung, Frank Thürauf; Sitz der Gesellschaft: München; Registergericht München, HRB 106955

[-- Attachment #2: fix-nvptx-offload.diff --]
[-- Type: text/x-patch, Size: 2144 bytes --]

nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]

Seemingly, the ptx JIT of CUDA <= 10.2 replaces function pointers in global
variables by NULL if a translation does not contain any executable code. It
works with CUDA 11.1.  The code of this commit is about reverse offload;
having NULL values disables the side of reverse offload during image load.

Solution is the same as found by Thomas for a related issue: Adding a dummy
procedure. Cf. the PR of this issue and Thomas' patch
"nvptx: Support global constructors/destructors via 'collect2'"
https://gcc.gnu.org/pipermail/gcc-patches/2022-December/607749.html

As that approach also works here:

Co-authored-by: Thomas Schwinge <thomas@codesourcery.com>

gcc/
	PR libgomp/108098

	* config/nvptx/mkoffload.cc (process): Emit dummy procedure
	alongside reverse-offload function table to prevent NULL values
	of the function addresses.

---
 gcc/config/nvptx/mkoffload.cc | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/gcc/config/nvptx/mkoffload.cc b/gcc/config/nvptx/mkoffload.cc
index 5d89ba8..8306aa0 100644
--- a/gcc/config/nvptx/mkoffload.cc
+++ b/gcc/config/nvptx/mkoffload.cc
@@ -357,6 +357,20 @@ process (FILE *in, FILE *out, uint32_t omp_requires)
 	fputc (sm_ver2[i], out);
       fprintf (out, "\"\n\t\".file 1 \\\"<dummy>\\\"\"\n");
 
+      /* WORKAROUND - see PR 108098
+	 It seems as if older CUDA JIT compiler optimizes the function pointers
+	 in offload_func_table to NULL, which can be prevented by adding a
+	 dummy procedure. With CUDA 11.1, it seems to work fine without
+	 workaround while CUDA 10.2 as some ancient version have need the
+	 workaround. Assuming CUDA 11.0 fixes it, emitting it could be
+	 restricted to 'if (sm_ver2[0] < 8 && version2[0] < 7)' as sm_80 and
+	 PTX ISA 7.0 are new in CUDA 11.0; for 11.1 it would be sm_86 and
+	 PTX ISA 7.1.  */
+      fprintf (out, "\n\t\".func __dummy$func ( );\"\n");
+      fprintf (out, "\t\".func __dummy$func ( )\"\n");
+      fprintf (out, "\t\"{\"\n");
+      fprintf (out, "\t\"}\"\n");
+
       size_t fidx = 0;
       for (id = func_ids; id; id = id->next)
 	{

^ permalink raw reply	[flat|nested] 4+ messages in thread

* Re: [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
  2022-12-16 16:19 [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098] Tobias Burnus
@ 2022-12-19 12:04 ` Thomas Schwinge
  2023-04-04  9:02   ` Thomas Schwinge
  0 siblings, 1 reply; 4+ messages in thread
From: Thomas Schwinge @ 2022-12-19 12:04 UTC (permalink / raw)
  To: Tobias Burnus; +Cc: gcc-patches, Tom de Vries, Jakub Jelinek

Hi!

On 2022-12-16T17:19:00+0100, Tobias Burnus <tobias@codesourcery.com> wrote:
> Seems to be a CUDA JIT issue

A Nvidia Driver JIT issue, more precisely.  ;-)

> which is fixed by adding a dummy procedure.

Gah...  :-|

> Lightly tested with 4 systems at hand, where 2 failed before.

I'm happy to confirm that indeed this does resolve the issue for all
configurations that I reported in <https://gcc.gnu.org/PR108098>
"OpenMP/nvptx reverse offload execution test FAILs".


As I said on IRC, #gcc, 2022-12-16:

> [...] we're unlikely to reverse-engineer the exact version/conditions
> where this got fixed, so don't have a useful means for versioning the
> workaround.  Fortunately, it doesn't "cost" anything really.  (In
> constrast to some other GCC/nvptx back end workarounds, as I
> understand.)


Grüße
 Thomas


> One had 10.2 and
> the other had some ancient CUDA where 'nvptx-smi' did not print a CUDA version
> and requires -mptx=3.1.
> (I did check that offloading indeed happened and no hostfallback was done.)
>
> OK for mainline?
>
> Tobias


> nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
>
> Seemingly, the ptx JIT of CUDA <= 10.2 replaces function pointers in global
> variables by NULL if a translation does not contain any executable code. It
> works with CUDA 11.1.  The code of this commit is about reverse offload;
> having NULL values disables the side of reverse offload during image load.
>
> Solution is the same as found by Thomas for a related issue: Adding a dummy
> procedure. Cf. the PR of this issue and Thomas' patch
> "nvptx: Support global constructors/destructors via 'collect2'"
> https://gcc.gnu.org/pipermail/gcc-patches/2022-December/607749.html
>
> As that approach also works here:
>
> Co-authored-by: Thomas Schwinge <thomas@codesourcery.com>
>
> gcc/
>       PR libgomp/108098
>
>       * config/nvptx/mkoffload.cc (process): Emit dummy procedure
>       alongside reverse-offload function table to prevent NULL values
>       of the function addresses.
>
> ---
>  gcc/config/nvptx/mkoffload.cc | 14 ++++++++++++++
>  1 file changed, 14 insertions(+)
>
> diff --git a/gcc/config/nvptx/mkoffload.cc b/gcc/config/nvptx/mkoffload.cc
> index 5d89ba8..8306aa0 100644
> --- a/gcc/config/nvptx/mkoffload.cc
> +++ b/gcc/config/nvptx/mkoffload.cc
> @@ -357,6 +357,20 @@ process (FILE *in, FILE *out, uint32_t omp_requires)
>       fputc (sm_ver2[i], out);
>        fprintf (out, "\"\n\t\".file 1 \\\"<dummy>\\\"\"\n");
>
> +      /* WORKAROUND - see PR 108098
> +      It seems as if older CUDA JIT compiler optimizes the function pointers
> +      in offload_func_table to NULL, which can be prevented by adding a
> +      dummy procedure. With CUDA 11.1, it seems to work fine without
> +      workaround while CUDA 10.2 as some ancient version have need the
> +      workaround. Assuming CUDA 11.0 fixes it, emitting it could be
> +      restricted to 'if (sm_ver2[0] < 8 && version2[0] < 7)' as sm_80 and
> +      PTX ISA 7.0 are new in CUDA 11.0; for 11.1 it would be sm_86 and
> +      PTX ISA 7.1.  */
> +      fprintf (out, "\n\t\".func __dummy$func ( );\"\n");
> +      fprintf (out, "\t\".func __dummy$func ( )\"\n");
> +      fprintf (out, "\t\"{\"\n");
> +      fprintf (out, "\t\"}\"\n");
> +
>        size_t fidx = 0;
>        for (id = func_ids; id; id = id->next)
>       {
-----------------
Siemens Electronic Design Automation GmbH; Anschrift: Arnulfstraße 201, 80634 München; Gesellschaft mit beschränkter Haftung; Geschäftsführer: Thomas Heurung, Frank Thürauf; Sitz der Gesellschaft: München; Registergericht München, HRB 106955

^ permalink raw reply	[flat|nested] 4+ messages in thread

* Re: [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
  2022-12-19 12:04 ` Thomas Schwinge
@ 2023-04-04  9:02   ` Thomas Schwinge
  2023-04-04  9:08     ` Tom de Vries
  0 siblings, 1 reply; 4+ messages in thread
From: Thomas Schwinge @ 2023-04-04  9:02 UTC (permalink / raw)
  To: Tobias Burnus, gcc-patches, Tom de Vries, Jakub Jelinek

Hi!

Are we going to install such a work-around?


Grüße
 Thomas


On 2022-12-19T13:04:43+0100, I wrote:
> Hi!
>
> On 2022-12-16T17:19:00+0100, Tobias Burnus <tobias@codesourcery.com> wrote:
>> Seems to be a CUDA JIT issue
>
> A Nvidia Driver JIT issue, more precisely.  ;-)
>
>> which is fixed by adding a dummy procedure.
>
> Gah...  :-|
>
>> Lightly tested with 4 systems at hand, where 2 failed before.
>
> I'm happy to confirm that indeed this does resolve the issue for all
> configurations that I reported in <https://gcc.gnu.org/PR108098>
> "OpenMP/nvptx reverse offload execution test FAILs".
>
>
> As I said on IRC, #gcc, 2022-12-16:
>
>> [...] we're unlikely to reverse-engineer the exact version/conditions
>> where this got fixed, so don't have a useful means for versioning the
>> workaround.  Fortunately, it doesn't "cost" anything really.  (In
>> constrast to some other GCC/nvptx back end workarounds, as I
>> understand.)
>
>
> Grüße
>  Thomas
>
>
>> One had 10.2 and
>> the other had some ancient CUDA where 'nvptx-smi' did not print a CUDA version
>> and requires -mptx=3.1.
>> (I did check that offloading indeed happened and no hostfallback was done.)
>>
>> OK for mainline?
>>
>> Tobias
>
>
>> nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
>>
>> Seemingly, the ptx JIT of CUDA <= 10.2 replaces function pointers in global
>> variables by NULL if a translation does not contain any executable code. It
>> works with CUDA 11.1.  The code of this commit is about reverse offload;
>> having NULL values disables the side of reverse offload during image load.
>>
>> Solution is the same as found by Thomas for a related issue: Adding a dummy
>> procedure. Cf. the PR of this issue and Thomas' patch
>> "nvptx: Support global constructors/destructors via 'collect2'"
>> https://gcc.gnu.org/pipermail/gcc-patches/2022-December/607749.html
>>
>> As that approach also works here:
>>
>> Co-authored-by: Thomas Schwinge <thomas@codesourcery.com>
>>
>> gcc/
>>      PR libgomp/108098
>>
>>      * config/nvptx/mkoffload.cc (process): Emit dummy procedure
>>      alongside reverse-offload function table to prevent NULL values
>>      of the function addresses.
>>
>> ---
>>  gcc/config/nvptx/mkoffload.cc | 14 ++++++++++++++
>>  1 file changed, 14 insertions(+)
>>
>> diff --git a/gcc/config/nvptx/mkoffload.cc b/gcc/config/nvptx/mkoffload.cc
>> index 5d89ba8..8306aa0 100644
>> --- a/gcc/config/nvptx/mkoffload.cc
>> +++ b/gcc/config/nvptx/mkoffload.cc
>> @@ -357,6 +357,20 @@ process (FILE *in, FILE *out, uint32_t omp_requires)
>>      fputc (sm_ver2[i], out);
>>        fprintf (out, "\"\n\t\".file 1 \\\"<dummy>\\\"\"\n");
>>
>> +      /* WORKAROUND - see PR 108098
>> +     It seems as if older CUDA JIT compiler optimizes the function pointers
>> +     in offload_func_table to NULL, which can be prevented by adding a
>> +     dummy procedure. With CUDA 11.1, it seems to work fine without
>> +     workaround while CUDA 10.2 as some ancient version have need the
>> +     workaround. Assuming CUDA 11.0 fixes it, emitting it could be
>> +     restricted to 'if (sm_ver2[0] < 8 && version2[0] < 7)' as sm_80 and
>> +     PTX ISA 7.0 are new in CUDA 11.0; for 11.1 it would be sm_86 and
>> +     PTX ISA 7.1.  */
>> +      fprintf (out, "\n\t\".func __dummy$func ( );\"\n");
>> +      fprintf (out, "\t\".func __dummy$func ( )\"\n");
>> +      fprintf (out, "\t\"{\"\n");
>> +      fprintf (out, "\t\"}\"\n");
>> +
>>        size_t fidx = 0;
>>        for (id = func_ids; id; id = id->next)
>>      {
-----------------
Siemens Electronic Design Automation GmbH; Anschrift: Arnulfstraße 201, 80634 München; Gesellschaft mit beschränkter Haftung; Geschäftsführer: Thomas Heurung, Frank Thürauf; Sitz der Gesellschaft: München; Registergericht München, HRB 106955

^ permalink raw reply	[flat|nested] 4+ messages in thread

* Re: [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
  2023-04-04  9:02   ` Thomas Schwinge
@ 2023-04-04  9:08     ` Tom de Vries
  0 siblings, 0 replies; 4+ messages in thread
From: Tom de Vries @ 2023-04-04  9:08 UTC (permalink / raw)
  To: Thomas Schwinge, Tobias Burnus, gcc-patches, Jakub Jelinek

On 4/4/23 11:02, Thomas Schwinge wrote:
> Hi!
> 
> Are we going to install such a work-around?
> 

Hi,

LGTM.

Thanks,
- Tom

> 
> Grüße
>   Thomas
> 
> 
> On 2022-12-19T13:04:43+0100, I wrote:
>> Hi!
>>
>> On 2022-12-16T17:19:00+0100, Tobias Burnus <tobias@codesourcery.com> wrote:
>>> Seems to be a CUDA JIT issue
>>
>> A Nvidia Driver JIT issue, more precisely.  ;-)
>>
>>> which is fixed by adding a dummy procedure.
>>
>> Gah...  :-|
>>
>>> Lightly tested with 4 systems at hand, where 2 failed before.
>>
>> I'm happy to confirm that indeed this does resolve the issue for all
>> configurations that I reported in <https://gcc.gnu.org/PR108098>
>> "OpenMP/nvptx reverse offload execution test FAILs".
>>
>>
>> As I said on IRC, #gcc, 2022-12-16:
>>
>>> [...] we're unlikely to reverse-engineer the exact version/conditions
>>> where this got fixed, so don't have a useful means for versioning the
>>> workaround.  Fortunately, it doesn't "cost" anything really.  (In
>>> constrast to some other GCC/nvptx back end workarounds, as I
>>> understand.)
>>
>>
>> Grüße
>>   Thomas
>>
>>
>>> One had 10.2 and
>>> the other had some ancient CUDA where 'nvptx-smi' did not print a CUDA version
>>> and requires -mptx=3.1.
>>> (I did check that offloading indeed happened and no hostfallback was done.)
>>>
>>> OK for mainline?
>>>
>>> Tobias
>>
>>
>>> nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098]
>>>
>>> Seemingly, the ptx JIT of CUDA <= 10.2 replaces function pointers in global
>>> variables by NULL if a translation does not contain any executable code. It
>>> works with CUDA 11.1.  The code of this commit is about reverse offload;
>>> having NULL values disables the side of reverse offload during image load.
>>>
>>> Solution is the same as found by Thomas for a related issue: Adding a dummy
>>> procedure. Cf. the PR of this issue and Thomas' patch
>>> "nvptx: Support global constructors/destructors via 'collect2'"
>>> https://gcc.gnu.org/pipermail/gcc-patches/2022-December/607749.html
>>>
>>> As that approach also works here:
>>>
>>> Co-authored-by: Thomas Schwinge <thomas@codesourcery.com>
>>>
>>> gcc/
>>>       PR libgomp/108098
>>>
>>>       * config/nvptx/mkoffload.cc (process): Emit dummy procedure
>>>       alongside reverse-offload function table to prevent NULL values
>>>       of the function addresses.
>>>
>>> ---
>>>   gcc/config/nvptx/mkoffload.cc | 14 ++++++++++++++
>>>   1 file changed, 14 insertions(+)
>>>
>>> diff --git a/gcc/config/nvptx/mkoffload.cc b/gcc/config/nvptx/mkoffload.cc
>>> index 5d89ba8..8306aa0 100644
>>> --- a/gcc/config/nvptx/mkoffload.cc
>>> +++ b/gcc/config/nvptx/mkoffload.cc
>>> @@ -357,6 +357,20 @@ process (FILE *in, FILE *out, uint32_t omp_requires)
>>>       fputc (sm_ver2[i], out);
>>>         fprintf (out, "\"\n\t\".file 1 \\\"<dummy>\\\"\"\n");
>>>
>>> +      /* WORKAROUND - see PR 108098
>>> +     It seems as if older CUDA JIT compiler optimizes the function pointers
>>> +     in offload_func_table to NULL, which can be prevented by adding a
>>> +     dummy procedure. With CUDA 11.1, it seems to work fine without
>>> +     workaround while CUDA 10.2 as some ancient version have need the
>>> +     workaround. Assuming CUDA 11.0 fixes it, emitting it could be
>>> +     restricted to 'if (sm_ver2[0] < 8 && version2[0] < 7)' as sm_80 and
>>> +     PTX ISA 7.0 are new in CUDA 11.0; for 11.1 it would be sm_86 and
>>> +     PTX ISA 7.1.  */
>>> +      fprintf (out, "\n\t\".func __dummy$func ( );\"\n");
>>> +      fprintf (out, "\t\".func __dummy$func ( )\"\n");
>>> +      fprintf (out, "\t\"{\"\n");
>>> +      fprintf (out, "\t\"}\"\n");
>>> +
>>>         size_t fidx = 0;
>>>         for (id = func_ids; id; id = id->next)
>>>       {
> -----------------
> Siemens Electronic Design Automation GmbH; Anschrift: Arnulfstraße 201, 80634 München; Gesellschaft mit beschränkter Haftung; Geschäftsführer: Thomas Heurung, Frank Thürauf; Sitz der Gesellschaft: München; Registergericht München, HRB 106955


^ permalink raw reply	[flat|nested] 4+ messages in thread

end of thread, other threads:[~2023-04-04  9:08 UTC | newest]

Thread overview: 4+ messages (download: mbox.gz / follow: Atom feed)
-- links below jump to the message on this page --
2022-12-16 16:19 [Patch] nvptx/mkoffload.cc: Add dummy proc for OpenMP rev-offload table [PR108098] Tobias Burnus
2022-12-19 12:04 ` Thomas Schwinge
2023-04-04  9:02   ` Thomas Schwinge
2023-04-04  9:08     ` Tom de Vries

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