QUICK: A GPU-enabled ab intio quantum chemistry software package
-
Updated
Nov 16, 2024 - C
QUICK: A GPU-enabled ab intio quantum chemistry software package
Learn OpenCL step by step.
Toy CPU and GPU implementations of the Slug rendering algorithm
Raylib 100% GPU particles example in 3D. Uses compute shaders and is fully documented. Millions of particles at 60 fps on a laptop.
CUDA bindings for Ruby
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…
🔭 cross platform general purpose GPU library - optimized for rendering
A GPU-Accelerated In-Memory Key-Value Store (AWS-focused fork)
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…
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.
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 3d raytracing program (42 team project)
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.
Binaural Spatializer in OpenGL/CUDA using real time GPU audio processing
A CUDA library of DNA/RNA sequence alignment algorithms.
Materials for "Differences between OpenACC and OpenMP offloading models" tutorial.
A GPU accelerated FIR filter ALSA plugin
An implementation of mean shift clustering algorithm on CUDA (and CPU too).
Add a description, image, and links to the gpu-acceleration topic page so that developers can more easily learn about it.
To associate your repository with the gpu-acceleration topic, visit your repo's landing page and select "manage topics."