yifuwang / symm-mem-recipesLinks
☆146Updated 10 months ago
Alternatives and similar repositories for symm-mem-recipes
Users that are interested in symm-mem-recipes are comparing it to the libraries listed below
Sorting:
- ☆243Updated last year
- ☆154Updated 6 months ago
- ☆101Updated last year
- A lightweight design for computation-communication overlap.☆183Updated last month
- Github mirror of trition-lang/triton repo.☆98Updated this week
- ☆93Updated last year
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆142Updated last month
- Applied AI experiments and examples for PyTorch☆302Updated 2 months ago
- extensible collectives library in triton☆90Updated 7 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆126Updated 5 months ago
- nnScaler: Compiling DNN models for Parallel Training☆118Updated last month
- ☆108Updated 5 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆277Updated this week
- Distributed MoE in a Single Kernel [NeurIPS '25]☆89Updated last month
- Perplexity GPU Kernels☆519Updated 2 weeks ago
- Allow torch tensor memory to be released and resumed later☆164Updated last week
- Open ABI and FFI for Machine Learning Systems☆167Updated this week
- ☆246Updated this week
- Fastest kernels written from scratch☆386Updated last month
- Fast low-bit matmul kernels in Triton☆392Updated 2 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆164Updated last month
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆120Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆222Updated 2 years ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆80Updated 11 months ago
- ☆83Updated 2 years ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆102Updated 7 years ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆271Updated 3 months ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆104Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆434Updated 5 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆390Updated last month