QUICK: A GPU-enabled ab intio quantum chemistry software package

Determined AI public environments

Learn OpenCL step by step.

PaRSEC is a generic framework for architecture aware scheduling and management of micro-tasks on distributed, GPU accelerated, many-core heterogeneous architectures. PaRSEC assigns computation threads to the cores, GPU accelerators, overlaps communications and computations and uses a dynamic, fully-distributed scheduler based on architectural fe…

Toy CPU and GPU implementations of the Slug rendering algorithm

CUDA bindings for Ruby

DPLASMA is a highly optimized, accelerator-aware, implementation of a dense linear algebra package for distributed heterogeneous systems. It is designed to deliver sustained performance for distributed systems where each node featuring multiple sockets of multicore processors, and if available, accelerators, using the PaRSEC runtime as a backend.

SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are inc…

Blob detection library with example applications. Two examples for the usage on the RaspberryPi uses the coarse h264 motion estimation vector.An other example run on every system with OpenCV.

A GPU-Accelerated In-Memory Key-Value Store (AWS-focused fork)

Materials for "Differences between OpenACC and OpenMP offloading models" tutorial.

Discover and explore fractals world with OpenCL acceleration

Tool for creating and editing realistic planetary scale heightmaps through simulating tectonics, erosion and climate processes in spherical geometry.

The main purpose of this tutorial is to present similarities and differences between device offload mechanisms available in OpenACC and OpenMP standards.

A GPU accelerated FIR filter ALSA plugin

ICECTI 2023 Hackathon repository for the GPU stack

2017 가속기 프로그래밍 여름학교 - Video Recovery 프로젝트 OpenCL 구현

🔭 cross platform general purpose GPU library - optimized for rendering

Raylib 100% GPU particles example in 3D. Uses compute shaders and is fully documented. Millions of particles at 60 fps on a laptop.

Binaural Spatializer in OpenGL/CUDA using real time GPU audio processing