846 Open source projects that are alternatives of or similar to Ginkgo

Fork of CUDA GPU memtest 👓

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

DBCSR: Distributed Block Compressed Sparse Row matrix library

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

An efficient C++17 GPU numerical computing library with Python-like syntax

Image-processing software for cryo-electron microscopy

Fused Matrix Library

Agenium Scale vectorization library for CPUs and GPUs

This repository consists for gpu bootcamp material for HPC and AI

CUDA bindings for Ruby

An open-source solver tool for the Maxwell-Bloch equations.

ArrayFire: a general purpose GPU library.

AutoDock for GPUs and other accelerators

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

Vectors and sparse matrices partitioned into pieces for parallel distributed-memory computations.

Base container for developing C++ and Fortran HPC applications

Python wrapper for MFEM

Single precision (float) matrices for R.

oneAPI Math Kernel Library (oneMKL) Interfaces

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

Embedded language for high-performance array computations

stdgpu: Efficient STL-like Data Structures on the GPU

Fast Clojure Matrix Library

LLVM backend for Accelerate

How fast can we brute force a 64-bit comparison?

Concurrent CPU-GPU Programming using Task Models

Clojure library for CUDA development

Portable HPC Containers (C++)

Model reduction for linear and nonlinear dynamical systems: core C++ library

No description or website provided.

Some basic programming tutorials

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Structured Matrix Package (LBNL)

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

CUDA integration for Python, plus shiny features

An extensible HPC framework for CUDA, OpenCL and native CPU.

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

Deep.Net machine learning framework for F#

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Thin C++-flavored wrappers for the CUDA Runtime API

Rust wrapper for ArrayFire

Python bindings for ArrayFire: A general purpose GPU library.

LuxCore source repository

High-performance Bayesian Data Analysis on the GPU in Clojure

Kernel Tuning Toolkit

HPC solver for nonlinear optimization problems

💥💻💥 A data-parallel functional programming language

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

Matrix Algebra proGrams In Common Lisp.

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

🐱 Sylvester is a vector, matrix, and geometry library for JavaScript, that runs in the browser and on the server.

VisIt - Visualization and Data Analysis for Mesh-based Scientific Data

Execution primitives for C++

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning