Alternatives and similar repositories for BitDecoding

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

• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆59Updated 7 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆96Updated 10 months ago
• flashinfer-ai / cutlass-viz
  ☆65Updated 6 months ago
• rchardx / cuda-gemm
  ☆34Updated 2 weeks ago
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆183Updated last month
• CalebDu / Awesome-Cute
  ☆110Updated 5 months ago
• KuangjuX / NVSHMEM-Tutorial
  NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer
  ☆142Updated last month
• INT-FlashAttention2024 / INT-FlashAttention
  ☆83Updated 9 months ago
• PKU-SEC-Lab / HybriMoE
  [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
  ☆87Updated 5 months ago
• microsoft / SparTA
  ☆159Updated last year
• AlibabaPAI / FLASHNN
  ☆102Updated last year
• tile-ai / tilescale
  Tile-based language built for AI computation across all scales
  ☆78Updated this week
• zeroine / cutlass-cute-sample
  ☆47Updated last year
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆124Updated 6 months ago
• xinhao-luo / ClusterFusion
  [NeurIPS 2025] ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
  ☆48Updated last month
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• cat538 / SKVQ
  [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
  ☆24Updated last year
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆222Updated 2 years ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆141Updated 9 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 2 months ago
• toyaix / triton-runner
  Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.
  ☆76Updated this week
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆54Updated last year
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆247Updated 4 months ago
• ranggihwang / Pregated_MoE
  ☆56Updated last year
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆73Updated 6 months ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆32Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆68Updated 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.
  ☆45Updated 5 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆128Updated last week
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆186Updated 9 months ago