Výsledky vyhledávání - "Franz Christian Heinrich"

Fast and Faithful Performance Prediction of MPI Applications: the HPL Case Study

Autor: Arnaud Legrand, Tom Cornebize, Franz Christian Heinrich

Publikováno v: 2019 IEEE International Conference on Cluster Computing (CLUSTER)
2019 IEEE International Conference on Cluster Computing (CLUSTER), Sep 2019, Albuquerque, United States. ⟨10.1109/CLUSTER.2019.8891011⟩
CLUSTER

International audience; Finely tuning MPI applications (number of processes, granularity, collectiveoperation algorithms, topology and process placement) is critical to obtain good performance onsupercomputers. With a rising cost of modern supercompu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15c7d0302829d30841b3087652dbd2b3
https://inria.hal.science/hal-02096571

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Predicting the Energy-Consumption of MPI Applications at Scale Using Only a Single Node

Autor: Martin Quinson, Franz Christian Heinrich, Tom Cornebize, Anne-Cécile Orgerie, Alexandra Carpen-Amarie, Arnaud Legrand, Sascha Hunold, Augustin Degomme

Publikováno v: CLUSTER

Monitoring and assessing the energy efficiency of supercomputers and data centers is crucial in order to limit and reduce their energy consumption. Applications from the domain of High Performance Computing (HPC), such as MPI applications, account fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::730ed3d8bef168a256c874fa1fd87bac
https://doi.org/10.1109/cluster.2017.66

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Characterizing the Performance of Modern Architectures Through Opaque Benchmarks: Pitfalls Learned the Hard Way

Autor: Luka Stanisic, Augustin Degomme, Lucas Mello Schnorr, Arnaud Legrand, Franz Christian Heinrich, Brice Videau

Publikováno v: IPDPS 2017-31st IEEE International Parallel & Distributed Processing Symposium (RepPar workshop)
IPDPS 2017-31st IEEE International Parallel & Distributed Processing Symposium (RepPar workshop), May 2017, Orlando, United States
IPDPS Workshops
HAL

Determining key characteristics of High Performance Computing machines that allow users to predict their performance is an old and recurrent dream. This was, for example, the rationale behind the design of the LogP model that later evolved into many

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f48ce9e71b4e59f35c6533c445589d
https://hal.inria.fr/hal-01470399

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Performance modeling of a geophysics application to accelerate over-decomposition parameter tuning through simulation

Autor: Lucas Mello Schnorr, Fabrice Dupros, Rafael Keller Tesser, Franz Christian Heinrich, Arnaud Legrand, Philippe O. A. Navaux

Publikováno v: Concurrency and Computation: Practice and Experience. 31:e5012

Finite-difference methods are commonplace in High Performance Computing applications. Despite their apparent regularity, they often exhibit load imbalance that damages their efficiency. We characterize the spatial and temporal load imbalance of Ondes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66ffd79463c97ef6c4b08ed769498dac
https://doi.org/10.1002/cpe.5012

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