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Reduce build time. (#1621)

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* disable fp8 gemm_universal on gfx90a and gfx908 by default

* fix cmake syntax

* fix clang format

* add ifdefs in amd_xdlops

* disable fp8 gemm instances on gfx90a by default

* update readme
This commit is contained in:
Illia Silin
2024-10-31 22:52:23 -07:00
committed by GitHub
parent fbd654545a
commit 03c6448ba3
8 changed files with 69 additions and 24 deletions
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README.md
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@@ -137,12 +137,11 @@ Docker images are available on [DockerHub](https://hub.docker.com/r/rocm/composa
You can find instructions for running ckProfiler in [profiler](/profiler).
Note the `-j` option for building with multiple threads in parallel. This speeds up the build significantly.
Note the `-j` option for building with multiple threads in parallel, which speeds up the build significantly.
However, `-j` launches unlimited number of threads, which can cause the build to run out of memory and
crash. On average, you should expect each thread to use ~2Gb of RAM.
Depending on the number of CPU cores and the amount of RAM on your system, you may want to
limit the number of threads. For example, if you have a 128-core CPU and 64 Gb of RAM.
By default, `-j` launches one thread per CPU core, which can cause the build to run out of memory and
crash. In such cases, you can reduce the number of threads to 32 by using `-j32`.
limit the number of threads. For example, if you have a 128-core CPU and 128 Gb of RAM it's advisable to use `-j32`.
Additional cmake flags can be used to significantly speed-up the build:
@@ -154,6 +153,11 @@ Additional cmake flags can be used to significantly speed-up the build:
`batched_gemm_multi_d_dl`. These instances are useful on architectures like the NAVI2x, as most
other platforms have faster instances, such as `xdl` or `wmma`, available.
* `CK_USE_FP8_ON_UNSUPPORTED_ARCH` (default is OFF) must be set to ON in order to build instances,
such as `gemm_universal` and `gemm_multiply_multiply` for fp8 data type for GPU targets which do not
have native support for fp8 data type, such as gfx908 or gfx90a. These instances are useful on
architectures like the MI100/MI200 for the functional support only.
## Using sccache for building
The default CK Docker images come with a pre-installed version of sccache, which supports clang