Alternatives and similar repositories for gpu_kernels

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

• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆93Updated last year
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆95Updated 4 months ago
• triton-lang / kernels
  ☆104Updated last year
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆120Updated last year
• microsoft / AttentionEngine
  ☆117Updated 8 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆55Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆142Updated 8 months ago
• stanford-futuredata / stk
  ☆115Updated last year
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 10 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆106Updated 7 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆85Updated last year
• 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
• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆73Updated 9 months ago
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated last year
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆81Updated 3 weeks ago
• meta-pytorch / KernelAgent
  Autonomous GPU Kernel Generation via Deep Agents
  ☆228Updated this week
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆176Updated last year
• tile-ai / AttentionEngine
  ☆52Updated 8 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆79Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆127Updated last year
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆40Updated last year
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆165Updated 2 months ago
• flashinfer-ai / cutlass-viz
  ☆65Updated 9 months ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated 2 years ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆113Updated last year
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆140Updated 3 weeks ago
• mit-han-lab / fouroversix
  Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”
  ☆118Updated this week
• Dao-AILab / grouped-latent-attention
  ☆131Updated 8 months ago