tgale96 / grouped_gemmLinks
PyTorch bindings for CUTLASS grouped GEMM.
☆93Updated last month
Alternatives and similar repositories for grouped_gemm
Users that are interested in grouped_gemm are comparing it to the libraries listed below
Sorting:
- ☆95Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆122Updated 5 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 10 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆127Updated this week
- ☆86Updated 5 months ago
- ☆79Updated 6 months ago
- ☆206Updated 10 months ago
- Implement Flash Attention using Cute.☆85Updated 5 months ago
- Applied AI experiments and examples for PyTorch☆271Updated this week
- Odysseus: Playground of LLM Sequence Parallelism☆69Updated 11 months ago
- ☆105Updated 9 months ago
- ☆59Updated last month
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- ☆73Updated 4 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆208Updated 9 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 8 months ago
- DeeperGEMM: crazy optimized version☆69Updated 3 weeks ago
- ☆85Updated 2 months ago
- ☆71Updated 2 weeks ago
- A lightweight design for computation-communication overlap.☆132Updated 3 weeks ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆109Updated 8 months 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
- 16-fold memory access reduction with nearly no loss☆94Updated 2 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆79Updated 3 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆305Updated 11 months ago
- extensible collectives library in triton☆87Updated 2 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated last month
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆203Updated 2 weeks ago
- A collection of memory efficient attention operators implemented in the Triton language.☆271Updated 11 months ago