wangsiping97 / FastGEMVLinks
High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
☆127Updated last year
Alternatives and similar repositories for FastGEMV
Users that are interested in FastGEMV are comparing it to the libraries listed below
Sorting:
- Standalone Flash Attention v2 kernel without libtorch dependency☆114Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆72Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Updated 7 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- ☆259Updated last year
- ☆104Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 4 months ago
- llama INT4 cuda inference with AWQ☆54Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆165Updated 2 months ago
- ☆105Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆142Updated 8 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Updated last year
- extensible collectives library in triton☆95Updated 10 months ago
- ☆159Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Updated 11 months ago
- Ahead of Time (AOT) Triton Math Library☆88Updated last week
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆148Updated 8 months ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆168Updated this week
- Github mirror of trition-lang/triton repo.☆128Updated this week
- ☆85Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆96Updated 4 months ago
- ☆65Updated 9 months ago
- DeeperGEMM: crazy optimized version☆73Updated 9 months ago
- ☆160Updated 2 years ago
- ☆175Updated 9 months ago
- A lightweight design for computation-communication overlap.☆219Updated 2 weeks ago
- NVIDIA cuTile learn☆158Updated 2 months ago
- ☆164Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆324Updated this week