A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
-
Updated
May 23, 2024 - Python
A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
A hardware-accelerated GPU terminal emulator focusing to run in desktops and browsers.
Video stabilization using gyroscope data
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
C++ wrapper for the Nvidia C libraries (e.g. CUDA driver, nvrtc, cuFFT etc.)
This repository contains scripts to test the performance of different path optimization appraches to compute transition states and the minimum energy paths.
CUDA C++ Core Libraries
hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library
Numerical linear algebra software package
a unified cross-architecture heterogeneous CFD solver
Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
Differentiable Fluid Dynamics Package
Quantum error correction code AI-discovery with Jax
Suite of python packages for multiparticle simulations of particle accelerators.
Fortran interface for DLA-Future
Add a description, image, and links to the gpu-computing topic page so that developers can more easily learn about it.
To associate your repository with the gpu-computing topic, visit your repo's landing page and select "manage topics."