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solverstack / Chameleon
OtherDense linear algebra subroutines for heterogeneous and distributed architectures
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starpu / starpu
GNU Lesser General Public License v2.1 onlyA Unified Runtime System for Heterogeneous Multicore Architectures.
More informations on https://starpu.gitlabpages.inria.fr/
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scotch / scotch
OtherPackage for graph and mesh/hypergraph partitioning, graph clustering, and sparse matrix ordering.
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Why3 / why3
GNU Lesser General Public License v2.1 onlyWhy3 is a software verification platform, featuring a versatile ML-style language and interfaces to various powerful automated and interactive theorem provers.
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PACANOWSKI Romain / MRF
Mozilla Public License 2.0MRF (Malia Rendering Framework) is an open source library for predictive, physically-realistic rendering.
It comes with several applications, including a spectral path tracer, RGB-to-spectral conversion routines.
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CORSE / easytracker
Affero General Public License v1.0Updated -
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EYRAUD-DUBOIS Lionel / pmtool
GNU General Public License v3.0 onlyPost-mortem analysis tool for StarPU scheduling studies
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Phylophile / Treerecs
GNU Affero General Public License v3.0Treerecs is an open-source (species- and gene-) tree reconciliation software.
It can correct, rearrange and (re-)root gene trees with regard to a given species tree.
Please visit https://project.inria.fr/treerecs/ for more about Treerecs
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memcad / memcad
GNU General Public License v3.0 onlyUpdated -
CORSE / IOLB
CeCILL Free Software License Agreement v2.1IOLB tool that computes data movement complexity of an affine program
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melissa / melissa-sa
BSD 3-Clause "New" or "Revised" LicenseLarge Scale Sensitivity Analysis
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metapart / starpart
GNU General Public License v3.0 onlyFlexible and extensible framework that integrates state-of-the-art methods for graph partitioning and sparse matrix ordering.
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solverstack / hqr
CeCILL Free Software License Agreement v2.0This project aims at providing a set of tools to generate efficient trees for the tile QR/LQ algorithms in order to reduce the volume of communications and increase the level of parallelism of those algorithm for Tall and skinny matrices.
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Teaching material for an industrial audience
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