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@@ -9,7 +9,7 @@ This repository provides utility scripts to simplify the process of setting up t
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Setting up NCCL or RCCL on Slingshot involves several steps, including downloading source code, configuring dependencies, and compiling libraries. These scripts ameliorate the complexities by:
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- Bringing together the lessons learned from a 4 month collaboration between HPE, Nvidia, and CSCS which addressed collective communications performance at scale, performance variability, and workload hangs.
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- Automating the download and build process for [NVIDIA NCCL](https://github.com/NVIDIA/nccl) or [ROCm RCCL](https://github.com/ROCm/rccl), the [AWS OFI NCCL Plugin](https://github.com/aws/aws-ofi-nccl), and [NCCL Tests](https://github.com/NVIDIA/nccl-tests) or [RCCL Tests](https://github.com/ROCm/rccl-tests) (all optional).
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- Automating the download and build process for [NVIDIA NCCL](https://github.com/NVIDIA/nccl) or [ROCm RCCL](https://github.com/ROCm/rocm-systems) (under `projects/rccl`), the [AWS OFI NCCL Plugin](https://github.com/aws/aws-ofi-nccl), and [NCCL Tests](https://github.com/NVIDIA/nccl-tests) or [RCCL Tests](https://github.com/ROCm/rocm-systems) (under `projects/rccl-tests`) (all optional).
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- Parameterizing dependency versions like CUDA, ROCm, and Libfabric to make it easier to compose custom experiments with different library versions.
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- The scripts always generate log files, so if you run out of scroll back buffer or there is a subtle difference in the build output, you have a better chance of catching the issue/behavior.
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@@ -69,7 +69,7 @@ The scripts can be run with no command line arguments, or one can override the d
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