wangsiping97 / FastGEMVLinks
High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
☆109Updated 10 months ago
Alternatives and similar repositories for FastGEMV
Users that are interested in FastGEMV are comparing it to the libraries listed below
Sorting:
- ☆206Updated 10 months ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆109Updated 8 months ago
- ☆95Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆93Updated last month
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆92Updated this week
- ☆86Updated 5 months ago
- ☆109Updated 3 weeks ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆62Updated 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 …☆181Updated 4 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆88Updated this week
- Benchmark code for the "Online normalizer calculation for softmax" paper☆93Updated 6 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆37Updated 3 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆79Updated 3 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆127Updated this week
- ☆145Updated 10 months ago
- llama INT4 cuda inference with AWQ☆54Updated 4 months ago
- A lightweight design for computation-communication overlap.☆132Updated 3 weeks ago
- ☆73Updated 4 months ago
- DeeperGEMM: crazy optimized version☆69Updated 3 weeks ago
- ☆79Updated 6 months ago
- Ahead of Time (AOT) Triton Math Library☆64Updated this week
- ☆71Updated 2 weeks ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆68Updated 9 months ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆36Updated last month
- ☆156Updated last year
- ☆59Updated last month
- Implement Flash Attention using Cute.☆85Updated 5 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆150Updated this week
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆124Updated last month