# yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs

<https://repo.masters-masters.com/en/repos/yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs>

[Home](https://repo.masters-masters.com/en) › [yzhaiustc](https://repo.masters-masters.com/en/owners/yzhaiustc) › [Optimizing-SGEMM-on-NVIDIA-Turing-GPUs](https://repo.masters-masters.com/en/repos/yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs)

yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs has 429 stars on GitHub. Its RepoMasters card: Alpha tier. Optimizing SGEMM kernel functions on NVIDIA GPUs…

| Field | Value |
| --- | --- |
| Owner | [yzhaiustc](https://repo.masters-masters.com/en/owners/yzhaiustc) |
| Stars | 429 |
| Forks | 53 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | GPL-3.0 |
| Created | 2021 |
| Topics | cuda, gemm, nvidia, optimization |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs](https://github.com/yzhaiustc/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs) |

## Repository

Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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