Alternatives and similar repositories for grouped_gemm

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

• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆152Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆265Updated 2 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆230Updated this week
• triton-lang / kernels
  ☆90Updated 10 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆239Updated last month
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆99Updated 3 weeks ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆82Updated 8 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆216Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆320Updated last year
• stanford-futuredata / stk
  ☆112Updated last year
• ColfaxResearch / cutlass-kernels
  ☆238Updated last year
• AlibabaPAI / FLASHNN
  ☆98Updated last year
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆71Updated 4 months ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆98Updated 2 weeks ago
• flashinfer-ai / cutlass-viz
  ☆64Updated 5 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆221Updated 2 years ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆241Updated last month
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆279Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 6 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆95Updated 9 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆116Updated last year
• InternLM / turbomind
  ☆95Updated 6 months ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆77Updated last year
• thunlp / TritonBench
  TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
  ☆82Updated 3 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆168Updated last year
• Dao-AILab / grouped-latent-attention
  ☆126Updated 4 months ago
• yifuwang / symm-mem-recipes
  ☆121Updated 9 months ago
• fzyzcjy / torch_utils
  Utility scripts for PyTorch (e.g. Memory profiler that understands more low-level allocations such as NCCL)
  ☆55Updated 3 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆155Updated 6 months ago