mit-han-lab / inter-operator-schedulerLinks
[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
☆199Updated 3 years ago
Alternatives and similar repositories for inter-operator-scheduler
Users that are interested in inter-operator-scheduler are comparing it to the libraries listed below
Sorting:
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆180Updated 3 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- Benchmark scripts for TVM☆74Updated 3 years ago
- DietCode Code Release☆65Updated 3 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- ☆145Updated 8 months ago
- play gemm with tvm☆92Updated 2 years ago
- Fast CUDA Kernels for ResNet Inference.☆180Updated 6 years ago
- ☆193Updated 2 years ago
- ☆93Updated 2 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆138Updated 2 years ago
- tophub autotvm log collections☆69Updated 2 years ago
- ☆40Updated 3 years ago
- A home for the final text of all TVM RFCs.☆108Updated last year
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆115Updated 2 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
- ☆68Updated 2 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆23Updated 5 years ago
- ☆36Updated 3 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆83Updated 2 years ago
- heterogeneity-aware-lowering-and-optimization☆256Updated last year
- examples for tvm schedule API☆101Updated 2 years ago
- ☆41Updated last year
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆53Updated last year
- ☆42Updated 2 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆117Updated 3 weeks ago
- ☆18Updated 5 years ago