Bruce-Lee-LY / cuda_hgemvLinks
Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
☆63Updated 10 months ago
Alternatives and similar repositories for cuda_hgemv
Users that are interested in cuda_hgemv are comparing it to the libraries listed below
Sorting:
- ☆37Updated last year
- ☆89Updated 2 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆94Updated 3 weeks ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆93Updated 2 months ago
- Optimize GEMM with tensorcore step by step☆31Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆111Updated 10 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆74Updated 11 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆95Updated 7 years ago
- ☆127Updated 2 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆183Updated 6 months ago
- ☆128Updated 7 months ago
- llama INT4 cuda inference with AWQ☆54Updated 6 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆39Updated 5 months ago
- Examples of CUDA implementations by Cutlass CuTe☆214Updated last month
- ☆96Updated 10 months ago
- ☆227Updated last year
- CUDA Matrix Multiplication Optimization☆213Updated last year
- Implement Flash Attention using Cute.☆92Updated 7 months ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆31Updated last year
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆56Updated last week
- An extension library of WMMA API (Tensor Core API)☆99Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆93Updated last month
- play gemm with tvm☆91Updated 2 years ago
- ☆149Updated 6 months ago
- CUTLASS and CuTe Examples☆65Updated 2 weeks ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆138Updated 4 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆369Updated 10 months ago
- A lightweight design for computation-communication overlap.☆154Updated last month
- ☆137Updated last year