Started by timer
Running as SYSTEM
Building in workspace /var/lib/jenkins/jobs/OpenCL/workspace
[SSH] script:
NODELIST=""""

#tar xvf /var/tmp/opencl.tar   # import from galen
cd  opencl
# new hydro sw stack testing
#cp /var/tmp/checkopencl.sh .  # import from galen
# when running an opaque script like this, show it in the console output so that others can see what is happening
cat -n checkopencl.sh
if [  "$NODELIIST" == "" ]; then
  srun -n1 --partition=a100 --gpus-per-node=1  ~/opencl/checkopencl.sh
else
  srun -n1 --partition=a100 --gpus-per-node=1  --nodelist=$NODELIST ~/opencl/checkopencl.sh
fi

[SSH] executing...
     1	#!/bin/bash
     2	# <a href='https://www.olcf.ornl.gov/tutorials/opencl-vector-addition/'>https://www.olcf.ornl.gov/tutorials/opencl-vector-addition/</a>
     3	# <a href='https://gist.github.com/courtneyfaulkner/7919509'>https://gist.github.com/courtneyfaulkner/7919509</a>
     4	module use /hysw/spack/hydrogpu-2022-06/modules/lmod/Core
     5	which nvcc
     6	nvcc -o vecAdd vecAdd.c -lOpenCL
     7	nvcc -o devices devices.c -lOpenCL
     8	nvcc -o platforms platforms.c -lOpenCL
     9	ls -lt|head -4
    10	echo "vecAdd, output should be 1.0000"
    11	./vecAdd
    12	
    13	echo "platforms:"
    14	./platforms
    15	echo "devices:"
    16	./devices
    17	
    18	CUDA_SMS=`./devices | grep "Parallel compute units:"`
    19	if [ "$CUDA_SMS" != "" ]; then
    20	  echo CUDA OpenCL looks good
    21	else
    22	  echo Problem with OpenCL.
    23	  exit -1
    24	fi
srun: job 97890 queued and waiting for resources
srun: job 97890 has been allocated resources
/sw/spack/hydrogpu-2022-06/apps/cuda/11.7.0-gcc-11.3.0-3ysno6b/bin/nvcc
total 3144
-rwx------ 1 svchydrojenkins grp_202 798136 Nov 18  2024 platforms
-rwx------ 1 svchydrojenkins grp_202 802240 Nov 18 11:49 devices
-rwx------ 1 svchydrojenkins grp_202 803336 Nov 18 11:49 vecAdd
vecAdd, output should be 1.0000
final result: 1.000000
platforms:

 1. Platform 
  1.1 Name       : NVIDIA CUDA
  1.2 Vendor     : NVIDIA Corporation
  1.3 Version    : OpenCL 3.0 CUDA 12.7.33
  1.4 Profile    : FULL_PROFILE
  1.5 Extensions : cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_khr_gl_event cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_nv_kernel_attribute cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_opaque_fd cl_khr_external_memory_opaque_fd cl_khr_semaphore

devices:
1. Device: NVIDIA A100 80GB PCIe
 1.1 Hardware version: OpenCL 3.0 CUDA
 1.2 Software version: 565.57.01
 1.3 OpenCL C version: OpenCL C 1.2 
 1.4 Parallel compute units: 108
CUDA OpenCL looks good

[SSH] completed
[SSH] exit-status: 0

Finished: SUCCESS