ademeure / cuda-side-boost
☆12Updated last week
Alternatives and similar repositories for cuda-side-boost
Users that are interested in cuda-side-boost are comparing it to the libraries listed below
Sorting:
- ☆16Updated 7 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆84Updated this week
- extensible collectives library in triton☆86Updated last month
- ☆96Updated last year
- ☆30Updated 2 years ago
- MLIR-based partitioning system☆82Updated this week
- ☆18Updated 5 years ago
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆40Updated last month
- Test suite for probing the numerical behavior of NVIDIA tensor cores☆38Updated 9 months ago
- A Top-Down Profiler for GPU Applications☆17Updated last year
- A tool for generating information about the matrix multiplication instructions in AMD Radeon™ and AMD Instinct™ accelerators☆92Updated last month
- ☆79Updated 6 months ago
- ☆44Updated 4 years ago
- GPU Performance Advisor☆64Updated 2 years ago
- High-Performance SGEMM on CUDA devices☆91Updated 3 months ago
- Artifacts of EVT ASPLOS'24☆24Updated last year
- A CUTLASS implementation using SYCL☆21Updated this week
- A Data-Centric Compiler for Machine Learning☆82Updated last year
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆50Updated 9 months ago
- ☆79Updated 2 years ago
- ☆15Updated last year
- ☆38Updated 5 years ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆106Updated 10 months ago
- An extension library of WMMA API (Tensor Core API)☆96Updated 10 months ago
- A lightweight, Pythonic, frontend for MLIR☆81Updated last year
- ☆51Updated 5 years ago
- ☆143Updated this week
- Ahead of Time (AOT) Triton Math Library☆63Updated this week
- amdgpu example code in hip/asm☆31Updated 3 weeks ago
- Sparsity support for PyTorch☆34Updated last month