pnnl / TCBNNLinks
☆34Updated 2 years ago
Alternatives and similar repositories for TCBNN
Users that are interested in TCBNN are comparing it to the libraries listed below
Sorting:
- ☆19Updated 3 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆15Updated 4 years ago
- ☆39Updated 5 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- ☆31Updated 3 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 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
- ☆13Updated 3 years ago
- Simulator for BitFusion☆100Updated 4 years ago
- GEMM and Winograd based convolutions using CUTLASS☆26Updated 4 years ago
- ☆19Updated 3 years ago
- ☆44Updated 4 years ago
- ☆40Updated 3 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆89Updated 2 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆72Updated 4 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Updated 2 years ago
- Multi-target compiler for Sum-Product Networks, based on MLIR and LLVM.☆23Updated 6 months ago
- GPTPU for SC 2021☆52Updated 2 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆14Updated 4 years ago
- ☆22Updated 2 years ago
- Artifacts of EVT ASPLOS'24☆26Updated last year
- A Winograd Minimal Filter Implementation in CUDA☆25Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- ☆98Updated last year
- Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization☆30Updated 7 months ago
- The code for our paper "Neural Architecture Search as Program Transformation Exploration"☆18Updated 4 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆138Updated 2 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- Sparse kernels for GNNs based on TVM☆17Updated 4 years ago
- Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"☆22Updated last year