Ce projet est une plateforme dédiée à l'apprentissage de l'informatique scientifique pour les étudiants du Master 2 EFM. Il offre des fonctionnalités d'analyse et de visualisation de données, ainsi que des outils pour effectuer des calculs complexes.

The oneAPI-intel project is a unified programming model that allows developers to build high-performance applications for various architectures, including CPUs, GPUs, and FPGAs. It provides a set of libraries, tools, and extensions for optimizing computing-intensive workloads, such as AI, data analytics, and scientific simulations.

StarPU is a open-source software framework that enables the optimization of scientific computing applications for heterogeneous architectures. It provides a simple and efficient way to parallelize compute-intensive tasks and manage resources, resulting in improved performance and reduced execution time.

Ce projet contient les solutions des exercices proposés dans le livre An Introduction to Scientific Computing. Il offre des programmes MATLAB pour quinze projets computationnels couvrant divers domaines de l'ingénierie et de la physique.

This project is a minimal test repository for Binder, a tool that enables the creation of interactive computing environments. It facilitates data analysis, simplifies scientific computing, and provides a platform for experimentation, making it easier for researchers and developers to share and reproduce their work.

The `ask` project is an open-source tool that provides support for scientific workflows, with a focus on simulation and optimization. It is built using OpenMOLE, a scientific workflow platform that enables the execution of complex simulations and optimization algorithms on various computing resources.

The kadeploy3 project is a web-based application for automated and centralized deployment of scientific applications. It provides a secure and scalable solution for software distribution, allowing administrators to manage and deploy software packages across multiple nodes with ease. The project aims to simplify the management of complex software stacks and improve the productivity of scientific computing teams.

The ust4hpc-2023 project is a tool for scientific research that optimizes high performance computing resources, allowing for efficient simulation and modeling of complex scientific calculations. It also provides robust management of large data sets, enabling researchers to easily access and analyze their data.

This project focuses on optimizing matrix multiplication using static algorithms on multicores and GPUs, aiming to improve performance and efficiency in scientific computing and large-scale matrix computations.

The cmake_external_blas project provides a way to externalize BLAS (Basic Linear Algebra Subprograms) libraries during the cmake build process, allowing for better customization and optimization of numerical computations in scientific computing applications.