mit-han-lab / parallel-computing-tutorialLinks
☆179Updated 2 years ago
Alternatives and similar repositories for parallel-computing-tutorial
Users that are interested in parallel-computing-tutorial are comparing it to the libraries listed below
Sorting:
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆148Updated 8 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆248Updated 2 weeks ago
- A Easy-to-understand TensorOp Matmul Tutorial☆405Updated 3 weeks ago
- Examples of CUDA implementations by Cutlass CuTe☆270Updated 7 months ago
- ☆77Updated last year
- Implement Flash Attention using Cute.☆100Updated last year
- CUDA Matrix Multiplication Optimization☆256Updated last year
- flash attention tutorial written in python, triton, cuda, cutlass☆484Updated 2 weeks ago
- 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
- ☆259Updated last year
- ☆105Updated last year
- ☆222Updated last year
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆115Updated 6 months ago
- A simple high performance CUDA GEMM implementation.☆426Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 4 months ago
- NVIDIA cuTile learn☆154Updated last month
- ☆145Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- ☆113Updated 8 months ago
- ☆118Updated 10 months ago
- ☆129Updated 5 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆324Updated this week
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Updated 11 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- Autonomous GPU Kernel Generation via Deep Agents☆228Updated this week
- ☆173Updated 8 months ago
- Cataloging released Triton kernels.☆291Updated 4 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆233Updated 2 years ago
- ☆164Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Updated last year