GCC OpenAcc executables problems

[Esteban Hernández]

Dear Alexander,

Currently i'm running on server with Tesla M2075,
the device config is the following

CUDA Driver Version / Runtime Version          7.0 / 7.0
  CUDA Capability Major/Minor version number:    2.0
  Total amount of global memory:                 5375 MBytes (5636554752 bytes)
  (14) Multiprocessors, ( 32) CUDA Cores/MP:     448 CUDA Cores
  GPU Max Clock rate:                            1147 MHz (1.15 GHz)
  Memory Clock rate:                             1566 Mhz
  Memory Bus Width:                              384-bit
  L2 Cache Size:                                 786432 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536),
2D=(65536, 65535), 3D=(2048, 2048, 2048)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 32768
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  1536
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (65535, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 2 copy engine(s)
  Run time limit on kernels:                     No
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Enabled
  Device supports Unified Addressing (UVA):      Yes
  Device PCI Domain ID / Bus ID / location ID:   0 / 8 / 0

Thanks

On Thu, Dec 17, 2015 at 5:26 PM, Alexander Monakov <amonakov@ispras.ru> wrote:
> On Thu, 17 Dec 2015, Esteban Hernández wrote:
>
>> Dear,
>>
>> I compile gcc 6  r231616,  for offloading and host,
>>
>>
>> When i compile a simple example with -fopenacc -foffload=nvptx-none
>>
>> The compilation process finish o.k, but when i Run the code in a
>> machine with cuda device, obtain the following problem
>>
>>
>> libgomp: cuModuleLoadData error: device kernel image is invalid
>
> Are you perhaps using new Maxwell-generation GPU for testing (Geforce 750,
> 950+)?  There's odd code in libgomp plugin that insists on producing binary
> code for Kepler-class hardware only.
>
> Nathan, is that a mistake, or was there some reason to fix JIT target? We are
> removing that code on gomp-nvptx branch:
> https://gcc.gnu.org/git/?p=gcc.git;a=commit;h=1099ad42d145faf428053018d02b26678c47adce
>
> Alexander



-- 
Sincerely


Esteban Hernandez B.
HPC specialist