jordan-g / PyTorch-cuDNN-ConvolutionLinks
PyTorch extension enabling direct access to cuDNN-accelerated C++ convolution functions.
☆13Updated 4 years ago
Alternatives and similar repositories for PyTorch-cuDNN-Convolution
Users that are interested in PyTorch-cuDNN-Convolution are comparing it to the libraries listed below
Sorting:
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- System for automated integration of deep learning backends.☆47Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆211Updated last year
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆270Updated last month
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- ☆81Updated 2 months ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 years ago
- ☆67Updated last year
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆177Updated 3 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- ☆150Updated last year
- Github mirror of trition-lang/triton repo.☆50Updated this week
- DietCode Code Release☆64Updated 3 years ago
- ☆237Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- ☆40Updated 3 years ago
- ☆106Updated 7 months ago
- ☆32Updated 2 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 4 months ago
- ☆75Updated 4 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆52Updated last year
- ☆154Updated 2 years ago
- ☆129Updated 3 months ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆114Updated 2 years ago
- ☆19Updated 3 years ago
- ☆80Updated 2 years ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆110Updated 8 months ago
- A simple tool to profile performance of multiple combinations of GEMM of cuBLAS☆25Updated 4 years ago