starpu/starpu

A Unified Runtime System for Heterogeneous Multicore Architectures. More informations on https://starpu.gitlabpages.inria.fr/

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MoReFEM/CoreLibrary/MoReFEM

MoReFEM core library. This library also contains some simple Models to illustrate how to use it, and several integration tests.

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felisce/felisce

FELiScE (Finite Elements for Life Sciences and Engineering) is a parallel finite element library written in C++. https://team.inria.fr/commedia/software/felisce/

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CTA-LAPP/PHOENIX_LIBS/PHOENIX

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pallas/pallas

Pallas is a scalable trace format for HPC applications.

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batsim/pybatsim

Python API and schedulers for Batsim

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CTA-LAPP/rta/HiPeRTA

**_HiPeRTA_** is a C++ library implementing the real-time analysis low-level reconstruction algorithms of the [Cherenkov Telescope Array (CTA)](http://cta-observatory.org). The real-time analysis is used by the Science Alert Generation (SAG) subsystem of the Array Control And Data Acquisition (ACADA) of CTAO for data quality and science monitoring and science alert generation.

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Damaris/damaris

This is the public project for Damaris. In this project the main line of source codes. The latest version of the documentation is stored here: https://project.inria.fr/damaris/documentation/.

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guix-hpc/guix-packager

https://guix-hpc.gitlabpages.inria.fr/guix-packager/

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transvihmi/nfernandez/slam

SLURM Lightweight Automated Manager

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CTA-LAPP/PHOENIX_LIBS/DataStream

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CTA-LAPP/PHOENIX_LIBS/IntrinsicsGenerator

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CTA-LAPP/PHOENIX_LIBS/MicroBenchmark

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CTA-LAPP/PHOENIX_LIBS/PhoenixHDF5

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CTA-LAPP/PHOENIX_LIBS/PhoenixHPCProxy

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CTA-LAPP/PHOENIX_LIBS/TensorAlloc

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external/spack-environments

CINES Spack Environments Templates

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srendon/rossbi3d

RoSSBi3D is a finite volume code specifically developed and optimized to study the evolution of protoplanetary disks

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CTA-LAPP/PHOENIX_LIBS/DataStreamHDF5

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CTA-LAPP/PHOENIX_LIBS/PhoenixDataGenerator

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sepia-pub/open-science/artifact-europar24-lightweight-power-pred-sched

Published in Europar 2024 Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. 2024. ⟨hal-04566184⟩

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