Alternatives and similar repositories for tritonparse

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

• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆187Updated this week
• bertmaher / simplegemm
  ☆110Updated 3 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆184Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 3 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆90Updated 2 weeks ago
• triton-lang / triton-cpu
  An experimental CPU backend for Triton
  ☆135Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆281Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆330Updated last week
• RadeonFlow / RadeonFlow_Kernels
  Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
  ☆57Updated 3 weeks ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆225Updated this week
• openxla / shardy
  MLIR-based partitioning system
  ☆103Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆136Updated 3 months ago
• triton-lang / kernels
  ☆83Updated 8 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated 2 months ago
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆43Updated 3 months ago
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆395Updated last month
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆53Updated 3 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆51Updated last week
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆258Updated last week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• mlc-ai / mlc-python
  ☆35Updated this week
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆62Updated 2 weeks ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆290Updated 3 months ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆183Updated 5 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆441Updated last month
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆281Updated last month
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆79Updated last week
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆70Updated this week