ParCIS / MagicubeLinks
Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
☆89Updated 2 years ago
Alternatives and similar repositories for Magicube
Users that are interested in Magicube are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆112Updated 2 years ago
- ☆33Updated last year
- ☆51Updated 6 years ago
- ☆102Updated last year
- ☆30Updated last year
- Artifacts of EVT ASPLOS'24☆26Updated last year
- ☆79Updated 2 years ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆52Updated last year
- Dissecting NVIDIA GPU Architecture☆99Updated 3 years ago
- ☆28Updated 11 months ago
- ☆39Updated 5 years ago
- ☆16Updated 2 years ago
- ☆148Updated 11 months ago
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆27Updated last year
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆33Updated 4 years ago
- ☆41Updated last year
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆52Updated last year
- play gemm with tvm☆91Updated last year
- DietCode Code Release☆64Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆138Updated 2 years ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆22Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆72Updated 4 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Updated 2 years ago
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆50Updated 11 months ago
- ☆111Updated last week
- OSDI 2023 Welder, deeplearning compiler☆20Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆137Updated 4 years ago