
ANEO
1 Projects, page 1 of 1
assignment_turned_in ProjectFrom 2021Partners:LIP6, LABORATOIRE DE MATHEMATIQUES, PHYSIQUE ET SYSTEMES, ANEO, Commissariat à l'énergie atomique et aux énergies alternatives (CEA) / Laboratoire d'Intégration des Systèmes et des Technologies, General Electric (France) +7 partnersLIP6,LABORATOIRE DE MATHEMATIQUES, PHYSIQUE ET SYSTEMES,ANEO,Commissariat à l'énergie atomique et aux énergies alternatives (CEA) / Laboratoire d'Intégration des Systèmes et des Technologies,General Electric (France),LABORATOIRE DE MATHEMATIQUES, PHYSIQUE ET SYSTEMES,TRISCALE INNOV,Laboratoire dinformatique Parallélisme, Réseaux et Algorithmique Distribuée,Laboratoire d'informatique Parallélisme, Réseaux et Algorithmique Distribuée,Commissariat à lénergie atomique et aux énergies alternatives (CEA) / Laboratoire dIntégration des Systèmes et des Technologies,INTEL Corporation SAS / Data Center Group – Entreprise & Gouvernement,INTEL Corporation SAS / Data Center Group – Entreprise & GouvernementFunder: French National Research Agency (ANR) Project Code: ANR-20-CE46-0009Funder Contribution: 642,880 EURIntensive usage of floating-point (FP) arithmetic in today’s real software affect numerical quality and reproducibility of program. The problem of the detection, localization and correction of numerical bug is entering a new area with the tremendous increases in computational horsepower needed to address new classes of problems, combined with the emergence of new multicore processors and new application-specific floating-point formats. InterFLOP project aims at providing a modular and scalable platform to both analyze and control the costs of FP behavior of today’s real programs facing those new paradigms. The platform will propose interoperable tools, starting from existing one developed by the partners combined with new composite one, to analyze and optimize FP calculus. By making those tools interoperable, it will be possible to take advantage of the properties and information specific to each of them in order to build composite and new analyses, inaccessible otherwise.
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