# tgale96/grouped\_gemm

<https://repo.masters-masters.com/en/repos/tgale96/grouped_gemm>

[Home](https://repo.masters-masters.com/en) › [tgale96](https://repo.masters-masters.com/en/owners/tgale96) › [grouped\_gemm](https://repo.masters-masters.com/en/repos/tgale96/grouped_gemm)

tgale96/grouped\_gemm has 157 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch bindings for CUTLASS grouped GEMM. Language: Cuda.

| Field | Value |
| --- | --- |
| Owner | [tgale96](https://repo.masters-masters.com/en/owners/tgale96) |
| Stars | 157 |
| Forks | 89 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | Apache-2.0 |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tgale96/grouped\_gemm](https://github.com/tgale96/grouped_gemm) |

## Repository

PyTorch bindings for CUTLASS grouped GEMM.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Cuda

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- [xlite-dev/HGEMM · ★ 158 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/xlite-dev/HGEMM)
- [FLAMEGPU/FLAMEGPU2 · ★ 157 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/FLAMEGPU/FLAMEGPU2)
- [ByteDance-Seed/decoupleQ · ★ 154 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/ByteDance-Seed/decoupleQ)
- [svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch · ★ 153 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch)
- [nerficg-project/HTGS · ★ 153 · Cuda · Prototype](https://repo.masters-masters.com/en/repos/nerficg-project/HTGS)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.