Alternatives and similar repositories for FlagGems

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

• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆266Updated 11 months ago
• ByteDance-Seed / Triton-distributed
  Distributed Triton for Parallel Systems
  ☆677Updated 2 weeks ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆353Updated 7 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆349Updated this week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆312Updated 5 months ago
• Bruce-Lee-LY / cuda_hgemm
  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…
  ☆410Updated 8 months ago
• Cambricon / triton-linalg
  Development repository for the Triton-Linalg conversion
  ☆186Updated 3 months ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆408Updated 3 weeks ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆427Updated last year
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆369Updated 3 weeks ago
• bytedance / byteir
  A model compilation solution for various hardware
  ☆434Updated last week
• ifromeast / cuda_learning
  learning how CUDA works
  ☆254Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆202Updated 10 months ago
• microsoft / triton-shared
  Shared Middle-Layer for Triton Compilation
  ☆246Updated last week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆612Updated last week
• FlagOpen / FlagScale
  FlagScale is a large model toolkit based on open-sourced projects.
  ☆276Updated this week
• RussWong / CUDATutorial
  A CUDA tutorial to make people learn CUDA program from 0
  ☆227Updated 10 months ago
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆473Updated last year
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆177Updated 3 months ago
• LLMServe / DistServe
  Disaggregated serving system for Large Language Models (LLMs).
  ☆584Updated last month
• Yinghan-Li / YHs_Sample
  Yinghan's Code Sample
  ☆327Updated 2 years ago
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆666Updated 2 months ago
• antgroup / glake
  GLake: optimizing GPU memory management and IO transmission.
  ☆460Updated last month
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆360Updated 3 weeks ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆389Updated last week
• bytedance / ByteMLPerf
  AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…
  ☆239Updated 3 weeks ago
• yzhaiustc / Optimizing-SGEMM-on-NVIDIA-Turing-GPUs
  Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.
  ☆345Updated 4 months ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆366Updated last year
• OpenPPL / ppl.llm.kernel.cuda
  ☆148Updated 4 months ago
• reed-lau / cute-gemm
  ☆119Updated 5 months ago