linnanwang / superneurons-releaseLinks
this is the release repository of superneurons
☆52Updated 4 years ago
Alternatives and similar repositories for superneurons-release
Users that are interested in superneurons-release are comparing it to the libraries listed below
Sorting:
- Repository for SysML19 Artifacts Evaluation☆54Updated 6 years ago
- Implementation of vDNN++; an improvement over vDNN☆18Updated 6 years ago
- ☆79Updated 2 years ago
- ☆21Updated 6 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 4 years ago
- ☆47Updated 2 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆121Updated 2 years ago
- System for automated integration of deep learning backends.☆48Updated 2 years ago
- ☆43Updated last year
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- ☆23Updated 6 months ago
- ☆51Updated 5 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- Thinking is hard - automate it☆19Updated 2 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- DietCode Code Release☆64Updated 2 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- ☆22Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆176Updated 3 years ago
- ☆143Updated 4 months ago
- ☆22Updated 5 years ago
- ☆23Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated 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
- Fine-grained GPU sharing primitives☆141Updated 5 years ago
- ☆14Updated 4 years ago
- ☆82Updated 2 years ago