Lunderberg / tvmcon-2021Links
Slides from 2021-12-15 talk, "TVM Developer Bootcamp – Writing Hardware Backends"
☆10Updated 3 years ago
Alternatives and similar repositories for tvmcon-2021
Users that are interested in tvmcon-2021 are comparing it to the libraries listed below
Sorting:
- ☆42Updated 2 years ago
- 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
- Benchmark PyTorch Custom Operators☆14Updated 2 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo☆17Updated 2 years ago
- ☆92Updated 2 years ago
- Benchmark scripts for TVM☆74Updated 3 years ago
- DietCode Code Release☆65Updated 3 years ago
- ☆21Updated 3 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated last year
- The quantitative performance comparison among DL compilers on CNN models.☆74Updated 5 years ago
- An Attention Superoptimizer☆22Updated 8 months ago
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆15Updated 5 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- ☆68Updated 2 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆139Updated 2 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- ☆23Updated last month
- ☆25Updated 2 years ago
- ☆145Updated 8 months ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆23Updated 5 years ago
- A schedule language for large model training☆151Updated last month
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Updated 6 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 3 years ago
- An external memory allocator example for PyTorch.☆16Updated last month
- Training neural networks in TensorFlow 2.0 with 5x less memory☆135Updated 3 years ago
- A self-contained version of the tutorial which can be easily cloned and viewed by others.☆24Updated 6 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated last year