digital-nomad-cheng / ECE408_Applied_Parallel_ProgrammingLinks
CUDA solutions for the lab assignments in the UIUC-ECE408 Applied Parallel Programming course.
☆18Updated 2 years ago
Alternatives and similar repositories for ECE408_Applied_Parallel_Programming
Users that are interested in ECE408_Applied_Parallel_Programming are comparing it to the libraries listed below
Sorting:
- Solution of Programming Massively Parallel Processors☆49Updated 2 years ago
- CUDA Matrix Multiplication Optimization☆256Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆145Updated 5 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆91Updated 3 years ago
- ☆45Updated last year
- ☆24Updated 9 months ago
- Dissecting NVIDIA GPU Architecture☆116Updated 3 years ago
- IMPACT GPU Algorithms Teaching Labs☆59Updated 2 years ago
- ☆145Updated last month
- ☆112Updated last year
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆121Updated 3 years ago
- ☆48Updated 2 years ago
- CUTLASS and CuTe Examples☆127Updated 2 months ago
- Personal Notes for Learning HPC & Parallel Computation [NO LONGER ADDING NEW CONTENT]☆77Updated 3 years ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆57Updated 2 years ago
- ☆50Updated 6 years ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆28Updated 2 years ago
- ☆48Updated last year
- Optimize GEMM with tensorcore step by step☆36Updated 2 years ago
- ☆158Updated last year
- tutorials about polyhedral compilation.☆61Updated 3 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆404Updated this week
- Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…☆77Updated 5 years ago
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆340Updated 7 months ago
- ☆224Updated 3 months ago
- Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.☆163Updated 4 years ago
- 📚 A curated list of awesome matrix-matrix multiplication (A * B = C) frameworks, libraries and software☆60Updated 11 months ago
- Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding☆15Updated 4 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆46Updated last year
- ☆175Updated 9 months ago