BabelStream/docs/spack_instructions.md

Spack Instructions

Table of contents

• OpenMP
• OpenCL
• STD
• STD20
• Hip
• Cuda
• Kokkos
• Sycl
• Sycl2020
• ACC
• Raja
• Tbb
• Thrust

OpenMP

• There are 3 offloading options for OpenMP: NVIDIA, AMD and Intel.
• If a user provides a value for cuda_arch, the execution will be automatically offloaded to NVIDIA.
• If a user provides a value for amdgpu_target, the operation will be offloaded to AMD.
• In the absence of cuda_arch and amdgpu_target, the execution will be offloaded to Intel.

Flag	Definition
cuda_arch	- List of supported compute capabilities are provided here - Useful link for matching CUDA gencodes with NVIDIA architectures
amdgpu_target	List of supported architectures are provided here

# Example 1: for Intel offload
 $ spack install babelstream%oneapi +omp 

# Example 2: for Nvidia GPU for Volta (sm_70) 
 $ spack install babelstream +omp cuda_arch=70 
 
# Example 3: for AMD GPU gfx701 
 $ spack install babelstream +omp amdgpu_target=gfx701 

OpenCL

• There are 4 different backend options for OpenCL : AMD,CUDA,INTEL, POCL
• No need to specify amdgpu_target or cuda_arch here since we are using AMD and CUDA as backend respectively.

Flag	Definition
backend	4 different backend options: - cuda - amd - intel - pocl

# Example 1:  CUDA backend
 $ spack install babelstream%gcc +ocl backend=cuda

# Example 2:  AMD backend 
 $ spack install babelstream%gcc +ocl backend=amd
 
# Example 3:  Intel backend
 $ spack install babelstream%gcc +ocl backend=intel

# Example 4:  POCL backend
 $ spack install babelstream%gcc +ocl backend=pocl