Alternatives and similar repositories for Efficient-LLM-Inferencing-on-GPUs

Users that are interested in Efficient-LLM-Inferencing-on-GPUs are comparing it to the libraries listed below

• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆92Updated last week
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆68Updated 9 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆79Updated 3 weeks ago
• AlibabaPAI / FLASHNN
  ☆96Updated 8 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆37Updated 3 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆62Updated 8 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆94Updated 6 years ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆182Updated 4 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆51Updated last year
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆91Updated last year
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆132Updated last month
• DD-DuDa / BitDecoding
  A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆36Updated last month
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆41Updated 9 months ago
• CalebDu / Awesome-Cute
  ☆73Updated 3 weeks ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆148Updated 4 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 4 months ago
• 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.
  ☆36Updated 2 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆109Updated 8 months ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆47Updated 2 months ago
• lenLRX / AmpereSparseMatmul
  study of Ampere' Sparse Matmul
  ☆18Updated 4 years ago
• chenhongyu2048 / LLM-inference-optimization-paper
  Summary of some awesome work for optimizing LLM inference
  ☆73Updated last week
• OpenPPL / ppl.nn.llm
  ☆139Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 10 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆211Updated last year
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated last year
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆188Updated 4 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆73Updated 4 months ago
• MARD1NO / CUDA-PPT
  ☆93Updated 2 months ago
• microsoft / chunk-attention
  ☆76Updated last month
• OpenPPL / ppl.pmx
  ☆58Updated 6 months ago