Alternatives and similar repositories for cutlass_tilesparse

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

• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆71Updated 4 years ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆131Updated 3 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆264Updated 4 years ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆136Updated 2 years ago
• c3sr / tcu_scope
  ☆51Updated 5 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• ceruleangu / Block-Sparse-Benchmark
  Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.
  ☆24Updated 4 years ago
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆32Updated 4 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆70Updated 8 years ago
• sunlex0717 / DissectingTensorCores
  ☆96Updated last year
• pnnl / TCBNN
  ☆34Updated 2 years ago
• uuudown / SBNN
  Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)
  ☆15Updated 4 years ago
• marsupialtail / gpu-sparsert
  ☆18Updated 4 years ago
• awslabs / ratex
  ☆23Updated 5 months ago
• chenxuhao / caffe-escoin
  Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
  ☆16Updated 6 years ago
• apuaaChen / EVT_AE
  Artifacts of EVT ASPLOS'24
  ☆24Updated last year
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• lixiuhong / batched_gemm
  ☆38Updated 5 years ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 6 years ago
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆50Updated 9 months ago
• apuaaChen / vectorSparse
  ☆31Updated 2 years ago
• iree-org / iree-nvgpu
  ☆50Updated last year
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆54Updated 3 years ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆155Updated 4 years ago
• daadaada / gas
  ☆44Updated 4 years ago
• olcf / NVIDIA-tensor-core-examples
  ☆18Updated 5 years ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆91Updated 6 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year