jack-willturner / nas-as-program-transformation-explorationLinks
The code for our paper "Neural Architecture Search as Program Transformation Exploration"
☆18Updated 4 years ago
Alternatives and similar repositories for nas-as-program-transformation-exploration
Users that are interested in nas-as-program-transformation-exploration are comparing it to the libraries listed below
Sorting:
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆14Updated 4 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- ☆13Updated 3 years ago
- Benchmark PyTorch Custom Operators☆14Updated last year
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆50Updated 11 months ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Updated 2 years ago
- An external memory allocator example for PyTorch.☆14Updated 3 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆138Updated 2 years ago
- DietCode Code Release☆64Updated 2 years ago
- ☆19Updated 8 months ago
- This repository contains the figures, tables and source code in the ICS'24 paper: "Accelerated Auto-Tuning of GPU Kernels for Tensor Comp…☆8Updated 6 months ago
- ☆18Updated 4 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- ☆19Updated 3 years ago
- ☆14Updated 3 years ago
- study of Ampere' Sparse Matmul☆18Updated 4 years ago
- ☆21Updated 4 months ago
- Artifacts of EVT ASPLOS'24☆26Updated last year
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆48Updated 3 months ago
- ☆23Updated 7 months ago
- The quantitative performance comparison among DL compilers on CNN models.☆74Updated 4 years ago
- one-shot-tuner☆8Updated 2 years ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆52Updated last year
- ☆9Updated last year
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- ☆39Updated 5 years ago
- System for automated integration of deep learning backends.☆47Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- ☆92Updated 2 years ago