yester31 / Cutlass_EX
study of cutlass
☆21Updated 4 months ago
Alternatives and similar repositories for Cutlass_EX:
Users that are interested in Cutlass_EX are comparing it to the libraries listed below
- ☆14Updated 2 years ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆60Updated 7 months ago
- ☆29Updated 11 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆59Updated 2 weeks ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆89Updated 3 weeks ago
- This is a demo how to write a high performance convolution run on apple silicon☆54Updated 3 years ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆106Updated 6 months ago
- Tutorials of Extending and importing TVM with CMAKE Include dependency.☆13Updated 5 months ago
- ☆42Updated 2 months ago
- ☆17Updated 11 months ago
- ☆16Updated 11 months ago
- play gemm with tvm☆89Updated last year
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆17Updated 5 months ago
- CVFusion is an open-source deep learning compiler to fuse the OpenCV operators.☆29Updated 2 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆82Updated 2 years ago
- ☆35Updated 5 months ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆28Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆57Updated 6 months ago
- ☆19Updated 4 years ago
- Yet another Polyhedra Compiler for DeepLearning☆19Updated last year
- Optimize GEMM with tensorcore step by step☆24Updated last year
- ☆82Updated last year
- ☆23Updated last year
- OneFlow->ONNX☆42Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing. By pro…☆68Updated this week
- ☆15Updated last year
- CUDA 6大并行计算模式 代码与笔记☆60Updated 4 years ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆35Updated last week