BoyuanFeng / APNN-TC
☆18Updated 3 years ago
Alternatives and similar repositories for APNN-TC:
Users that are interested in APNN-TC are comparing it to the libraries listed below
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆25Updated 4 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆13Updated 3 years ago
- ☆38Updated 4 years ago
- ☆21Updated last year
- ☆32Updated 2 years ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆18Updated 3 years ago
- ☆34Updated 2 years ago
- ☆15Updated 3 years ago
- ☆36Updated 2 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- ☆13Updated 3 years ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆49Updated 8 months ago
- Artifacts of EVT ASPLOS'24☆23Updated 10 months ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆15Updated 4 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆51Updated 6 months ago
- Benchmark PyTorch Custom Operators☆13Updated last year
- ☆26Updated 7 months ago
- ☆17Updated 4 years ago
- ☆18Updated 2 years ago
- ☆46Updated 5 years ago
- A Winograd Minimal Filter Implementation in CUDA☆23Updated 3 years ago
- ☆14Updated 2 years ago
- DietCode Code Release☆61Updated 2 years ago
- one-shot-tuner☆8Updated 2 years ago
- study of Ampere' Sparse Matmul☆16Updated 4 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆45Updated last year
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆24Updated last year
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 2 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- ☆31Updated 3 years ago