[og7, libgomp, nvptx, committed] Fix too-many-resources fatal error condition and message
Tom de Vries
Tom_deVries@mentor.com
Mon Apr 30 13:41:00 GMT 2018
Hi,
atm parallel-dims.c fails on Titan-V, with a cuda launch failure:
...
libgomp: cuLaunchKernel error: too many resources requested for launch
...
We've got a check in the libgomp nvptx plugin to prevent the cuda launch
failure and give a more informative error message:
...
/* Check if the accelerator has sufficient hardware resources to
launch the offloaded kernel. */
if (dims[GOMP_DIM_WORKER] > 1)
{
if (reg_granularity > 0
&& dims[GOMP_DIM_WORKER] > threads_per_block)
GOMP_PLUGIN_fatal
("The Nvidia accelerator has insufficient resources "
"to launch '%s'; recompile the program with "
"'num_workers = %d' on that offloaded region or "
"'-fopenacc-dim=-:%d'.\n",
targ_fn->launch->fn, threads_per_block,
threads_per_block);
}
...
The message doesn't trigger, because reg_granularity == -1.
This value comes from dev->register_allocation_granularity which
defaults to -1 because libgomp does not have a hardcoded constant for
sm_70. The hardcoded constants that are present match 'Warp Allocation
Granularity' in the GPU Data table in CUDA_Occupancy_calculator.xls, but
AFAICT there's no column published yet for sm_70.
Furthermore, the comparison to threads_per_block is not correct. What we
want here is the maximum amount of threads per block, while the
threads_per_block variable contains an approximation of that, and the
exact amount required is already available from the CUDA runtime and
stored at targ_fn->max_threads_per_block.
Then, the comparison to dims[GOMP_DIM_WORKER] is incorrect. It used to
be correct before "[nvptx] Handle large vectors in libgomp" when we used
to do "threads_per_block /= warp_size", but now we need to compare
against dims[GOMP_DIM_WORKER] * dims[GOMP_DIM_VECTOR].
Finally, the message has not been updated to reflect that vector length
can be larger than 32.
The patch addresses these issues.
Committed to og7.
Thanks,
- Tom
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