G

gpu

A preliminary R package for calculating a spatial variogram for point data in large populations using a CUDA-capable GPU.

The GPU accelerated implementation of volume rendering using PyQt5 with modern OpenGL and NumPy.

A collection of awesome algorithms, implemented in CUDA.

PyHole is a general relativity ray tracing code written in Python and OpenCL. It includes an easy to use interface for interactive analysis of the dynamics around arbitrary axisymmetric stationary space-times.

Meshless solver for continuous PDEs

RP2C02 graphics coprocessor

Multidimensional arrays for C++. (Not an official Boost library) GitHub mirror: https://github.com/correaa/boost-multi

NnmfPack was conceived for efficiently solving Non-negative matrix factorization problems. NnmfPack is a collection of numerical routines written in C/CUDA. NnmfPack was designed and optimized for shared memory architectures.

Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL

Build scripts and patches used to cross-compile 5.1-rcX kernels for RK3288 boards, while including the Mali r19p0 drivers.

Personal GPU farm utils. Created for 1080Ti Equihash Farming.

Model collisions between cells using a phase field algorithm implemented using CUDA

Source code for the project GeigerCam: Measuring Radioactivity with Webcams.

See https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/.

An EDSL that compiles to SPIR-V for graphics programming on the GPU in Haskell.

Minimalistic Docker image with FFmpeg and support for hardware acceleration based on archlinux.

You can install the latest build of this image by running docker pull migoller/ffmpeg.

// Project from 2009-2012 // Cross-platform CFD library for mesh-free simulation and visualization of incompressible flows using Smoothed Particle Hydrodynamics (SPH) methods.

Genetics Algorithms and Genetic Programming library. https://genetics4j.org

A ruby library for interacting with compute devices.

Packages for mesa