Projects with this topic
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Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA, OpenCL, Vulkan
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A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
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Portable Engine for the Production of Parton-level Event Records
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Pyralysis is a Python library for radio interferometry: visibility simulation, gridding, optimization-based image reconstruction, and analysis pipelines with Dask-friendly scaling, documented APIs, and optional cluster (SLURM) workflows. GPL-3.0.
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A lightweight, fully unprivileged container implementation for HPC applications.
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Shoot a JupyterLab | marimo | VS Code/VSCodium | Pluto.jl | Matlab | SSHD | ... server to a (remote) Slurm allocation and talk to it via your local browser. Runs locally (Linux, Mac, Windows (WSL)) or remotely (e.g. as Remote or ProxyCommand configured in ~/.ssh/config) or inside an interactive Slurm session. One Bash script for both tasks: as a wrapper it starts itself as an sbatch script in a Slurm job.
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A comprehensive CUDA compute library for Zig providing GPU memory management, kernel compilation/launching, device probing, and profiling capabilities
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Developers, Build your backends in record time! Deploy at scale with serverless technology. Self-host, install on any cloud or use our hosted platform. Open source, low code.
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The source for the website containing the trainings hosted by SuperComputing Luxembourg.
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Tamaas is a C++ library with a Python interface to efficiently solve contact mechanics problems with periodic rough surfaces, plasticity, adhesion and friction.
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A high-performance phylogenetics engine for parsimony-based evolutionary inference.
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EPSILOD is a C11 framework for iterative stencil computations acceleration on heterogeneous and distributed systems, with great scaling capabilities. It is presented as a function which solves a fixed number of iterations of a geometric stencil computation. It also supports device-tailored optimized stencil kernels.
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Controllers is a library written in C99 that provides a simplified way to program application that can exploit heterogeneous computational platforms including accelerators and/or multi-core CPUs.
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This project is a collaborative work as the final Project for the Course "Concepts of Data Science" during Spring 2026.
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Curated NVIDIA Base Command Manager (BCM) resources, tooling, and documentation.
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Standalone aMC development repository, submodule'd to MESSy & caaba-mecca repositories (mirror)
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Set of Feature Selection Tools that make use of parallel environments through CUDA, MPI and Threads
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