Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pöschel, Franz"'
Autor:
Eisenhauer, Greg, Podhorszki, Norbert, Gainaru, Ana, Klasky, Scott, Davis, Philip E., Parashar, Manish, Wolf, Matthew, Suchtya, Eric, Fredj, Erick, Bolea, Vicente, Pöschel, Franz, Steiniger, Klaus, Bussmann, Michael, Pausch, Richard, Chandrasekaran, Sunita
The "IO Wall" problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionally relied upon using the filesystem for intermediate storage between wo
Externí odkaz:
http://arxiv.org/abs/2410.00178
Autor:
Williams, Jeremy J., Medeiros, Daniel, Costea, Stefan, Tskhakaya, David, Poeschel, Franz, Widera, René, Huebl, Axel, Klasky, Scott, Podhorszki, Norbert, Kos, Leon, Podolnik, Ales, Hromadka, Jakub, Narwal, Tapish, Steiniger, Klaus, Bussmann, Michael, Laure, Erwin, Markidis, Stefano
Large-scale HPC simulations of plasma dynamics in fusion devices require efficient parallel I/O to avoid slowing down the simulation and to enable the post-processing of critical information. Such complex simulations lacking parallel I/O capabilities
Externí odkaz:
http://arxiv.org/abs/2408.02869
Autor:
Stiller, Patrick, Makdani, Varun, Pöschel, Franz, Pausch, Richard, Debus, Alexander, Bussmann, Michael, Hoffmann, Nico
The upcoming exascale era will provide a new generation of physics simulations. These simulations will have a high spatiotemporal resolution, which will impact the training of machine learning models since storing a high amount of simulation data on
Externí odkaz:
http://arxiv.org/abs/2211.04770
Autor:
Wan, Lipeng, Huebl, Axel, Gu, Junmin, Poeschel, Franz, Gainaru, Ana, Wang, Ruonan, Chen, Jieyang, Liang, Xin, Ganyushin, Dmitry, Munson, Todd, Foster, Ian, Vay, Jean-Luc, Podhorszki, Norbert, Wu, Kesheng, Klasky, Scott
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems, 2021
The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity and record turn-around time. Many of these codes are based on particl
Externí odkaz:
http://arxiv.org/abs/2107.07108
Autor:
Poeschel, Franz, E, Juncheng, Godoy, William F., Podhorszki, Norbert, Klasky, Scott, Eisenhauer, Greg, Davis, Philip E., Wan, Lipeng, Gainaru, Ana, Gu, Junmin, Koller, Fabian, Widera, René, Bussmann, Michael, Huebl, Axel
This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the openPMP-api, traditional workflows limited by filesystem bottlenecks can be overcome and flexi
Externí odkaz:
http://arxiv.org/abs/2107.06108
Autor:
Boyle, Neasa, Centeno, Eduarda, Dierkes, Jens, Heyard, Rachel, Kao, Joyce, Lakshminarayanan, Harini, Pöschel, Franz, Seibold, Heidi
A general course outline for an overview of Open Science We provide here a course outline in the form of a syllabus (i.e. module description) for a general open science course that overviews the most pertinent topics important toearly career research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac812b088f88bac1b21d58eacf76b82c
Akademický článek
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Autor:
Pöschel, Franz
The openPMD API is a DSL used in plasma physical simulations for the description of particle-mesh data according to the openPMD standard. The API offers a number of flexibly interchangeable efficient implementations in terms of IO backends. Having in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d10e5992ed5cdfb0d40e8dbb52ae2db
Akademický článek
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