Alternatives and similar repositories for TCBNN

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

• uuudown / SBNN
  Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)
  ☆16Updated 5 years ago
• BoyuanFeng / APNN-TC
  ☆19Updated 4 years ago
• lixiuhong / batched_gemm
  ☆40Updated 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.
  ☆23Updated 5 years ago
• masahi / tvm-cutlass-eval
  ☆41Updated 3 years ago
• pku-liang / AMOS
  Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators
  ☆121Updated 3 years ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆142Updated 2 years ago
• marsupialtail / gpu-sparsert
  ☆18Updated 5 years ago
• daadaada / gas
  ☆48Updated 5 years ago
• uwsampl / sparsetir-artifact
  Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"
  ☆25Updated 2 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated 2 years ago
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 5 years ago
• esa-tu-darmstadt / spn-compiler
  Multi-target compiler for Sum-Product Networks, based on MLIR and LLVM.
  ☆25Updated last year
• escalab / GPTPU
  GPTPU for SC 2021
  ☆52Updated 2 years ago
• apuaaChen / EVT_AE
  Artifacts of EVT ASPLOS'24
  ☆28Updated last year
• cowanmeg / cgo-artifact-2020
  Artifact repository for paper Automatic Generation of High-Performance Quantized Machine Learning Kernels
  ☆17Updated 5 years ago
• union-codesign / union
  ☆14Updated 4 years ago
• tlc-pack / tenset
  ☆95Updated 3 years ago
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆91Updated 3 years ago
• escalab / SIMD2
  ☆31Updated 3 years ago
• HPCRL / ASPLOS_artifact
  ☆13Updated 4 years ago
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆51Updated last year
• sunlex0717 / DissectingTensorCores
  ☆112Updated last year
• he-actlab / polymath
  ☆22Updated 11 months ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 6 years ago
• pku-liang / FlexTensor
  Automatic Schedule Exploration and Optimization Framework for Tensor Computations
  ☆182Updated 3 years ago
• gpgpu-sim / cutlass-gpgpu-sim
  ☆27Updated 6 years ago
• BradMcDanel / column-combine
  ☆27Updated 5 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆50Updated 7 years ago
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆14Updated 4 years ago