Pluto: An automatic polyhedral parallelizer and locality optimizer

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

How to: Run Rust code on your NVIDIA GPU

Compile Rust into PTX

(Mirror of GitLab) GPGPU Framework for Rust

The gro bacterial micro-colony growth specification and simulation software. For more information see the gro website, listed below.

A WebGL game engine for modern web-browsers.

Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL

Training Deep Neural Networks with binary weights during propagations

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Automatic Panorama Stitching From Scratch

Speeding up and debittering Caffe by adding Halide

C++ Binary Fixed-Point Arithmetic

A language for computing on sparse systems

a language for fast, portable data-parallel computation

Open source release of the Piko graphics pipeline compiler.

The SHOC Benchmark Suite

A brief computer graphics / rendering course

Flexible GPGPU instrumentation

Enabling on-the-fly manipulations with LLVM IR code of CUDA sources

CompPhys - a Computational Physics repository

Source code and supporting material for the 7th Edition of OpenGL SuperBible

Source code for OpenGL SupeBible 6th Edition examples

code for the rgbd-slam tutorial written in cnblogs

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

A code generator for array-based code on CPUs and GPUs

A collection of scientific kernels using the numpy module for benchmarking purpose

A Specification and a Library for Data Exchange in Polyhedral Compilation Tools