Alternatives and similar repositories for Nsight-Compute-Docker-Image

Users that are interested in Nsight-Compute-Docker-Image are comparing it to the libraries listed below

• 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 last month
• Chtholly-Boss / swizzle
  A practical way of learning Swizzle
  ☆19Updated 3 months ago
• caijixueIT / CUDA_Learning_for_Freshman
  ☆11Updated 2 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 8 months ago
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆30Updated last year
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆92Updated last week
• BBuf / tensorrt-llm-moe
  ☆28Updated 3 months ago
• Bruce-Lee-LY / cutlass_gemm
  Multiple GEMM operators are constructed with cutlass to support LLM inference.
  ☆18Updated 7 months ago
• LeiWang1999 / Stream-k.tvm
  ☆19Updated 7 months ago
• weishengying / cute_gemm
  ☆12Updated 9 months ago
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆38Updated last year
• flashinfer-ai / cutlass-viz
  ☆58Updated 3 weeks ago
• latentCall145 / channels-last-groupnorm
  A CUDA kernel for NHWC GroupNorm for PyTorch
  ☆18Updated 6 months ago
• sgl-project / tensorrt-demo
  TensorRT LLM Benchmark Configuration
  ☆13Updated 9 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆91Updated 6 years ago
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆41Updated 9 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆65Updated 9 months ago
• Ascend / torchair
  ☆11Updated this week
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆76Updated last week
• 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.
  ☆36Updated 2 months ago
• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆13Updated 7 months ago
• tile-ai / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆18Updated last week
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆70Updated this week
• AlibabaPAI / FLASHNN
  ☆94Updated 8 months ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆21Updated 4 years ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆85Updated this week
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 3 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated last week
• InternLM / turbomind
  ☆84Updated last month
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆56Updated last year