Datasetpublic

willychan21/ParallelKernelBench_Problems

ParallelKernelBench (benchmark) Reference problems for ParallelKernelBench: a benchmark for LLM-generated multi-GPU CUDA kernels. This dataset contains 87 reference implementations in reference/ and the input tensor specification in utils/input_output_tensors.py. Files Path Description data/problems.parquet One row per problem (tabular access) reference/*.py Reference solution() implementations utils/input_output_tensors.py Input/output tensor… See the full description on the dataset page: https://huggingface.co/datasets/willychan21/ParallelKernelBench_Problems.

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face

0likes266downloads

rootcodereference12_allgather_gemm.py

12_allgather_gemm.py12 linesDownload Raw Back to reference

1import torch2import torch.distributed as dist3 4 5@torch.no_grad()6def solution(A_local: torch.Tensor, B: torch.Tensor) -> torch.Tensor:7    world_size = dist.get_world_size()8    A_gathered = [torch.empty_like(A_local) for _ in range(world_size)]9    dist.all_gather(A_gathered, A_local)10    A_global = torch.cat(A_gathered, dim=1)11    return torch.matmul(A_global, B)12