nvixnu / pmpp__programming_massively_parallel_processorsLinks
Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (Third Edition)
☆77Updated 5 years ago
Alternatives and similar repositories for pmpp__programming_massively_parallel_processors
Users that are interested in pmpp__programming_massively_parallel_processors are comparing it to the libraries listed below
Sorting:
- CUDA Matrix Multiplication Optimization☆256Updated last year
- ☆130Updated 3 months ago
- Cataloging released Triton kernels.☆292Updated 5 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆148Updated 8 months ago
- CUTLASS and CuTe Examples☆127Updated 2 months ago
- Step-by-step optimization of CUDA SGEMM☆428Updated 3 years ago
- ☆177Updated 2 years ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆201Updated this week
- NVIDIA cuTile learn☆158Updated last month
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Updated last year
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆251Updated 9 months ago
- Solution of Programming Massively Parallel Processors☆49Updated 2 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆145Updated 5 years ago
- A simple high performance CUDA GEMM implementation.☆426Updated 2 years ago
- ☆175Updated 9 months ago
- 📚 A curated list of awesome matrix-matrix multiplication (A * B = C) frameworks, libraries and software☆60Updated 11 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆250Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆324Updated this week
- ☆259Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆404Updated this week
- ☆222Updated last year
- ☆286Updated this week
- Examples of CUDA implementations by Cutlass CuTe☆270Updated 7 months ago
- ☆213Updated last year
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- Code base and slides for ECE408:Applied Parallel Programming On GPU.☆143Updated 4 years ago
- Fastest kernels written from scratch☆532Updated 4 months ago
- Collection of kernels written in Triton language☆178Updated last week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Updated 7 months ago
- ☆285Updated last week