Alternatives and similar repositories for triton_bwd

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

• HanGuo97 / hilt
  ☆39Updated 3 weeks ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆92Updated 3 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆91Updated 9 months ago
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆130Updated this week
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆73Updated this week
• triton-lang / kernels
  ☆100Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆174Updated 9 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆74Updated 8 months ago
• ademeure / QuickRunCUDA
  ☆15Updated 2 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆308Updated this week
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆104Updated 6 months ago
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆72Updated 2 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆270Updated last week
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆159Updated 2 months ago
• ademeure / cuda-side-boost
  ☆53Updated 8 months ago
• meta-pytorch / KernelAgent
  Autonomous GPU Kernel Generation via Deep Agents
  ☆202Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆282Updated 4 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆161Updated last year
• flashinfer-ai / cutlass-viz
  ☆65Updated 8 months ago
• ColfaxResearch / layout-categories
  This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".
  ☆83Updated 3 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆312Updated 4 months ago
• KuangjuX / AttnLink
  An experimental communicating attention kernel based on DeepEP.
  ☆35Updated 5 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆139Updated 7 months ago
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆62Updated this week
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆66Updated this week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆25Updated 6 months ago
• vllm-project / tpu-inference
  TPU inference for vLLM, with unified JAX and PyTorch support.
  ☆207Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆115Updated 11 months ago
• thunlp / TritonBench
  TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
  ☆108Updated 6 months ago
• tile-ai / AttentionEngine
  ☆52Updated 7 months ago