stanford-cs149 / cs149gptLinks
☆74Updated last year
Alternatives and similar repositories for cs149gpt
Users that are interested in cs149gpt are comparing it to the libraries listed below
Sorting:
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆138Updated last year
- Cataloging released Triton kernels.☆252Updated 7 months ago
- ☆234Updated 2 weeks ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆214Updated 3 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆74Updated last week
- ☆115Updated 5 months ago
- Fastest kernels written from scratch☆318Updated 5 months ago
- Fast low-bit matmul kernels in Triton☆356Updated last week
- Stanford CS149 -- Assignment 1☆114Updated 11 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆546Updated last week
- Applied AI experiments and examples for PyTorch☆292Updated last week
- Learning about CUDA by writing PTX code.☆135Updated last year
- Collection of kernels written in Triton language☆152Updated 4 months ago
- Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…☆72Updated 4 years ago
- a minimal cache manager for PagedAttention, on top of llama3.☆119Updated last year
- ☆180Updated last year
- Learn CUDA with PyTorch☆67Updated last week
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆393Updated 5 months ago
- ring-attention experiments☆150Updated 10 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆274Updated this week
- ☆49Updated 7 months ago
- Simple MPI implementation for prototyping or learning☆279Updated 3 weeks ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆189Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆214Updated this week
- extensible collectives library in triton☆88Updated 5 months ago
- Custom kernels in Triton language for accelerating LLMs☆25Updated last year
- GPU documentation for humans☆131Updated last week
- Fast CUDA matrix multiplication from scratch☆812Updated last year
- CUDA Matrix Multiplication Optimization☆218Updated last year
- A Quirky Assortment of CuTe Kernels☆435Updated this week