Alternatives and similar repositories for SRDA

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

• microsoft / AttentionEngine
  ☆116Updated 7 months ago
• ByteDance-Seed / cudaLLM
  ☆126Updated 4 months ago
• flashinfer-ai / cutlass-viz
  ☆65Updated 8 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆74Updated 8 months ago
• tile-ai / AttentionEngine
  ☆52Updated 7 months ago
• PKU-SEC-Lab / HybriMoE
  [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
  ☆96Updated 3 weeks ago
• DeepLink-org / DLSlime
  DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit
  ☆91Updated this week
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated last year
• 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
• PipeFusion / PipeFusion
  A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters
  ☆53Updated last year
• InternLM / turbomind
  ☆96Updated 9 months ago
• KuangjuX / AttnLink
  An experimental communicating attention kernel based on DeepEP.
  ☆35Updated 5 months ago
• sgl-project / whl
  Kernel Library Wheel for SGLang
  ☆17Updated this week
• toyaix / triton-runner
  Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.
  ☆81Updated this week
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆142Updated 8 months ago
• dsl-learn / cutile-learn
  NVIDIA cuTile learn
  ☆147Updated last month
• hao-ai-lab / DistCA
  Efficient Long-context Language Model Training by Core Attention Disaggregation
  ☆75Updated 2 weeks ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆92Updated 3 months ago
• DeepLink-org / DLCompiler
  triton for dsa
  ☆52Updated this week
• mit-han-lab / tinychat-tutorial
  ☆77Updated last year
• yzlnew / infra-skills
  A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-perfo…
  ☆39Updated this week
• Ascend / triton-ascend
  Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
  ☆98Updated this week
• meta-pytorch / KernelAgent
  Autonomous GPU Kernel Generation via Deep Agents
  ☆202Updated this week
• Infini-AI-Lab / vortex_torch
  Vortex: A Flexible and Efficient Sparse Attention Framework
  ☆43Updated last month
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆46Updated 7 months ago
• AMD-AGI / GEAK-agent
  It is an LLM-based AI agent, which can write correct and efficient gpu kernels automatically.
  ☆53Updated this week
• thunlp / TritonBench
  TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
  ☆100Updated 6 months ago
• OpenBitSys / BitDecoding
  [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆76Updated 3 weeks ago
• microsoft / FractalTensor
  FractalTensor is a programming framework that introduces a novel approach to organizing data in deep neural networks (DNNs) as a list of …
  ☆31Updated last year
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆160Updated 2 months ago