CUDA Core Compute Libraries

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

Helpful kernel tutorials and examples for tile-based GPU programming

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…

Material for gpu-mode lectures

Learn CUDA with PyTorch

An experimental CPU backend for Triton

C++ extensions in PyTorch

High-Resolution Image Synthesis with Latent Diffusion Models

WIP

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Custom-Precision Floating-point numbers.

OP2: open-source framework for the execution of unstructured grid applications on clusters of GPUs or multi-core CPUs

Round matrix elements to lower precision in MATLAB

PyFR

Framework for performance-portable parallel computations on unstructured meshes

Data repository for my blog series on microprocessor trend data.

Tutorials and exercises for learning to use Bempp-cl for problems in acoustics

An HPL-AI implementation for Fugaku