loganwatchorn / notes-pmpp
Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
☆52Updated 8 months ago
Alternatives and similar repositories for notes-pmpp:
Users that are interested in notes-pmpp are comparing it to the libraries listed below
- Learnings and programs related to CUDA☆380Updated 2 months ago
- Learning about CUDA by writing PTX code.☆128Updated last year
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆267Updated 5 months ago
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆65Updated last month
- A really tiny autograd engine☆92Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆180Updated last week
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆216Updated 4 months ago
- pytorch from scratch in pure C/CUDA and python☆40Updated 6 months ago
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆174Updated 9 months ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDA☆114Updated 3 months ago
- ☆296Updated 3 weeks ago
- ☆43Updated last week
- ☆45Updated last month
- ☆80Updated 2 weeks ago
- Question paper of courses taught at IISC as part of MTech AI curriculum☆62Updated 5 months ago
- High Quality Resources on GPU Programming/Architecture☆586Updated 9 months ago
- GPU Kernels☆172Updated last week
- ☆47Updated last month
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆228Updated 9 months ago
- Andrej Kapathy's micrograd implemented in c☆28Updated 8 months ago
- machine learning from absolute scratch in c. gradients, linear algebra ops & everything else without using any third party library!☆22Updated 9 months ago
- Apply GPU in ML and DL☆52Updated 2 months ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆180Updated last year
- Let's make all Machine learning algorithms from scratch!☆13Updated 10 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆342Updated last month
- Simple Byte pair Encoding mechanism used for tokenization process . written purely in C☆129Updated 5 months ago
- Visualization of cache-optimized matrix multiplication☆120Updated last month
- could we make an ml stack in 100,000 lines of code?☆42Updated 9 months ago
- CUDA tutorials or Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.☆181Updated 3 weeks ago
- ML/DL Math and Method notes☆60Updated last year