Alternatives and similar repositories for tccl

Users that are interested in tccl are comparing it to the libraries listed below

• triton-lang / kernels
  ☆94Updated last year
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆63Updated last month
• facebookexperimental / triton
  Github mirror of trition-lang/triton repo.
  ☆100Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆256Updated this week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆307Updated 3 months ago
• yifuwang / symm-mem-recipes
  ☆147Updated 11 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆131Updated 6 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆294Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆401Updated last week
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆123Updated last year
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆143Updated 3 weeks ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆65Updated this week
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆226Updated last year
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆102Updated 5 months ago
• stanford-futuredata / stk
  ☆113Updated last year
• ColfaxResearch / layout-categories
  This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".
  ☆80Updated 2 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆86Updated last year
• ColfaxResearch / cutlass-kernels
  ☆246Updated last year
• meta-pytorch / KernelAgent
  Autonomous GPU Kernel Generation via Deep Agents
  ☆163Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆169Updated 7 months ago
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆124Updated 2 weeks ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆88Updated 2 months ago
• HanGuo97 / hilt
  ☆38Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆217Updated last week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆274Updated 2 months ago
• ROCm / iris
  AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming
  ☆119Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆160Updated last year
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆58Updated 2 weeks ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆73Updated 6 months ago
• albanD / subclass_zoo
  ☆184Updated last year