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cutlass/examples/65_distributed_gemm/REQUIREMENTS.md
Yujia Zhai 6f4921858b v3.9 update (#2203)
* v3.9 update

* voidD

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
2025-04-02 15:11:18 -04:00

4.3 KiB

Distributed GEMM

Requirements

Build

Make sure to set up CUTLASS with support for Programmatic Dependent Launch (PDL), that is with the CUTLASS_ENABLE_GDC_FOR_SM90 flag.

cmake $PATH -DCUTLASS_NVCC_ARCHS="90a" -DCUTLASS_ENABLE_GDC_FOR_SM90=1

Minimum software

Like all other CUTLASS examples, the NVIDIA driver, runtime, and CUDA Toolkit are required. This example specifically requires CUDA Toolkit 12.6 or newer, due to some of the necessary CUDA graph APIs.

The minimum CUDA driver version for running this example is 560.28.03.

Hardware / driver settings

This example requires Hopper GPUs with NVLink network.

If you're not sure, first run the following command and make sure your GPU compute capability is 9.0:

nvidia-smi --query-gpu=name,compute_cap --format=csv

Sample output:

name, compute_cap
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0
NVIDIA H100 80GB HBM3, 9.0

Then you should make sure there is an NVLink network by checking the GPU network topology, and making sure there's NV* links between every pair of GPUs:

nvidia-smi topo -m

Sample output:

        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X

Finally, check if the driver enables peer to peer access, which should usually be the case, but it's good to check anyway:

nvidia-smi topo -p2p r

Sample output:

       GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7
GPU0   X       OK      OK      OK      OK      OK      OK      OK
GPU1   OK      X       OK      OK      OK      OK      OK      OK
GPU2   OK      OK      X       OK      OK      OK      OK      OK
GPU3   OK      OK      OK      X       OK      OK      OK      OK
GPU4   OK      OK      OK      OK      X       OK      OK      OK
GPU5   OK      OK      OK      OK      OK      X       OK      OK
GPU6   OK      OK      OK      OK      OK      OK      X       OK
GPU7   OK      OK      OK      OK      OK      OK      OK      X

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