YashasSamaga / ConvolutionBuildingBlocksLinks
GEMM and Winograd based convolutions using CUTLASS
☆28Updated 5 years ago
Alternatives and similar repositories for ConvolutionBuildingBlocks
Users that are interested in ConvolutionBuildingBlocks are comparing it to the libraries listed below
Sorting:
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆141Updated 2 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- ☆50Updated last year
- ☆68Updated 2 years ago
- Benchmark scripts for TVM☆74Updated 3 years ago
- ☆41Updated 3 years ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆123Updated last year
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 6 years ago
- A Winograd Minimal Filter Implementation in CUDA☆28Updated 4 years ago
- Benchmark PyTorch Custom Operators☆14Updated 2 years ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆112Updated last year
- Artifacts of EVT ASPLOS'24☆28Updated last year
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- ☆40Updated 5 years ago
- ☆36Updated 3 years ago
- ☆18Updated 5 years ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆137Updated 3 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆121Updated 3 years ago
- ☆19Updated 4 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆14Updated 4 years ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆102Updated 5 months ago
- ☆109Updated last year
- ☆145Updated 10 months ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated last year
- ☆47Updated 4 years ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆55Updated 2 years ago
- Fast sparse deep learning on CPUs☆56Updated 3 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆180Updated 3 years ago
- ☆50Updated 6 years ago