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NVIDIA curated collection of educational resources related to general purpose GPU programming.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Introduction to Machine Learning Systems
Video+code lecture on building nanoGPT from scratch
GPU programming related news and material links
Awesome LLM compression research papers and tools.
Learn CUDA Programming, published by Packt
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through w…
📰 Must-read papers and blogs on Speculative Decoding ⚡️
Accelerate inference without tears
[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
LLVM Tutorial: Kaleidoscope (Implementing a Language with LLVM)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
Open deep learning compiler stack for cpu, gpu and specialized accelerators
header-only Windows implementation of the <sys/time.h> header
A Cross-Browser, Event-based, Element Resize Detection for React
This a classification model using tensorflow and Keras. The dataset is from kaggle.