Using External GPU Support¶
Many packages come with a +cuda or +rocm variant.
With no added configuration, Spack will download and install the needed components.
It may be preferable to use existing system support: the following sections help with using a system installation of GPU libraries.
Using an External ROCm Installation¶
Spack breaks down ROCm into many separate component packages.
The following is an example packages.yaml that organizes a consistent set of ROCm components for use by dependent packages:
packages:
all:
variants: amdgpu_target=gfx90a
hip:
buildable: false
externals:
- spec: hip@5.3.0
prefix: /opt/rocm-5.3.0/hip
hsa-rocr-dev:
buildable: false
externals:
- spec: hsa-rocr-dev@5.3.0
prefix: /opt/rocm-5.3.0/
comgr:
buildable: false
externals:
- spec: comgr@5.3.0
prefix: /opt/rocm-5.3.0/
hipsparse:
buildable: false
externals:
- spec: hipsparse@5.3.0
prefix: /opt/rocm-5.3.0/
hipblas:
buildable: false
externals:
- spec: hipblas@5.3.0
prefix: /opt/rocm-5.3.0/
rocblas:
buildable: false
externals:
- spec: rocblas@5.3.0
prefix: /opt/rocm-5.3.0/
rocprim:
buildable: false
externals:
- spec: rocprim@5.3.0
prefix: /opt/rocm-5.3.0/rocprim/
This is in combination with the following compiler definition:
packages:
llvm-amdgpu:
externals:
- spec: llvm-amdgpu@=5.3.0
prefix: /opt/rocm-5.3.0
extra_attributes:
compilers:
c: /opt/rocm-5.3.0/bin/amdclang
cxx: /opt/rocm-5.3.0/bin/amdclang++
This includes the following considerations:
Each of the listed externals specifies
buildable: falseto force Spack to use only the externals we defined.spack external findcan automatically locate some of thehip/rocmpackages, but not all of them, and furthermore not in a manner that guarantees a complementary set if multiple ROCm installations are available.The
prefixis the same for several components, but note that others require listing one of the subdirectories as a prefix.
Using an External CUDA Installation¶
CUDA is split into fewer components and is simpler to specify:
packages:
all:
variants:
- cuda_arch=70
cuda:
buildable: false
externals:
- spec: cuda@11.0.2
prefix: /opt/cuda/cuda-11.0.2/
where /opt/cuda/cuda-11.0.2/lib/ contains libcudart.so.
Using an External OpenGL API¶
Depending on whether we have a graphics card or not, we may choose to use OSMesa or GLX to implement the OpenGL API.
If a graphics card is unavailable, OSMesa is recommended and can typically be built with Spack. However, if we prefer to utilize the system GLX tailored to our graphics card, we need to declare it as an external. Here’s how to do it:
packages:
libglx:
require: [opengl]
opengl:
buildable: false
externals:
- prefix: /usr/
spec: opengl@4.6
Note that the prefix has to be the root of both the libraries and the headers (e.g., /usr), not the path to the lib directory.
To know which spec for OpenGL is available, use cd /usr/include/GL && grep -Ri gl_version.