YUP is an open-source library dedicated to empowering developers with advanced tools for cross-platform application development.
-
Updated
Jun 8, 2024 - C++
YUP is an open-source library dedicated to empowering developers with advanced tools for cross-platform application development.
CUDA C++ Core Libraries
A hardware-accelerated GPU terminal emulator focusing to run in desktops and browsers.
The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.
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…
A model-independent chemistry module for atmosphere models
Stretching GPU performance for GEMMs and tensor contractions.
An adaptive mesh hydrodynamics simulation code for low Mach number reacting flows without level sub-cycling.
(REOS) Radar and ElectroOptical Simulation Framework written in Fortran.
Saccadic Fast Fourier Transform (SFFT) algorithm for Image subtraction in Fourier space
This repository provides notes and resources for learning CUDA parallel programming. It includes an overview of GPU architecture, key differences between CPUs and GPUs, and detailed explanations of CUDA concepts and components. Perfect for beginners looking to dive into GPU programming with practical examples and clear explanations.
A library of GPU-enabled data processing and reconstruction methods for tomography
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Research and Materials on Hardware implementation of Transformer Model
Safe rust wrapper around CUDA toolkit
NAS Parallel Benchmarks for GPU
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."