Zobrazeno 1 - 10
of 20
pro vyhledávání: '"particle-mesh data"'
Autor:
Huebl, Axel, Lehe, Rémi, Vay, Jean-Luc, Grote, David P., Sbalzarini, Ivo F., Kuschel, Stephan, Sagan, David, Pérez, Frédéric, Koller, Fabian, Bussmann, Michael
Publikováno v:
EUCALL (SIMEX) Annual Meeting, 30.05.-01.06.2018, Prague, Czech Republic
SIMEX Developer Workshop, 16.04.2018, Hamburg, Deutschland
18th Advanced Accelerator Concepts Workshop, 12.-17.08.2018, Breckenridge (CO), United States of America
SIMEX Developer Workshop, 16.04.2018, Hamburg, Deutschland
18th Advanced Accelerator Concepts Workshop, 12.-17.08.2018, Breckenridge (CO), United States of America
Data fuels and substantiates scientific discoveries. Advanced particle accelerator research is no different and has an inherent need for high-rate, high-resolution data. But in recent years, generating and handling the sheer amount data that is drivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51f171dac79a94ef1786dd8209205dc1
https://www.hzdr.de/publications/Publ-27962-2
https://www.hzdr.de/publications/Publ-27962-2
Autor:
Pöschel, F., Hübl, A.
Publikováno v:
8. Annual MT Meeting, 26.-27.09.2022, Hamburg, Deutschland
EuroNNAc Special Topics Workshop, 18.-24.09.2022, La Biodola Bay, Isola d'Elba, Italien
EuroNNAc Special Topics Workshop, 18.-24.09.2022, La Biodola Bay, Isola d'Elba, Italien
This talk presents openPMD, an open and F.A.I.R. standard for particle-mesh data, and its impact in heterogeneous scientific workflows. Particle accelerator codes need to span various time and length scales, leading to data processing pipelines consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::584755bb800daf9da3c0a42baff235f0
https://www.hzdr.de/publications/Publ-35580-3
https://www.hzdr.de/publications/Publ-35580-3
Autor:
Feister, Scott1 scott.feister@csuci.edu, Cassou, Kevin2, Dann, Stephen3, Döpp, Andreas4, Gauron, Philippe2, Gonsalves, Anthony J.5, Joglekar, Archis6,7, Marshall, Victoria3, Neveu, Olivier2, Schlenvoigt, Hans-Peter8, Streeter, Matthew J. V.9, Palmer, Charlotte A. J.9 c.palmer@qub.ac.uk
Publikováno v:
High Power Laser Science & Engineering. 2023, Vol. 11, p1-25. 25p.
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:
Maljaars, Jakob M.1 (AUTHOR) j.m.maljaars@tudelft.nl, Labeur, Robert Jan1 (AUTHOR) r.j.labeur@tudelft.nl, Trask, Nathaniel1,2 (AUTHOR) natrask@sandia.gov, Sulsky, Deborah3 (AUTHOR) sulsky@math.unm.edu
Publikováno v:
Computer Methods in Applied Mechanics & Engineering. May2019, Vol. 348, p443-465. 23p.
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
Autor:
Fortmann-Grote, C., Andreev, A. A., Appel, K., Branco, J., Briggs, R., Bussmann, M., Buzmakov, A., Garten, M., Grund, A., Huebl, A., Jurek, Z., Loh, N. D., Nakatsutsumi, M., Samoylova, L., Santra, R., Schneidmiller, E. A., Sharma, A., Steiniger, K., Yakubov, S., Yoon, C. H.
Publikováno v:
Proceedings of SPIE; 7/3/2017, Vol. 10237, p1-34, 34p
Autor:
Huebl, Axel, Poeschel, Franz
The open standard for particle-mesh data (openPMD) is a FAIR community standard. openPMD meta-data adds scientific self-description in a machine-actionable format to data sets, which allows sharing data processing frameworks, chaining data through si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5d698eb6eec3f6cafe9e9ac12c4a65
Autor:
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
Publikováno v:
Smoky Mountains Computational Sciences & Engineering Conference (SMC2021), 18.-20.10.2021, Oak Ridge, USACommunications in Computer and Information Science, Volume 1512 CCIS, 99-118
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0153efcc9e9ddaedcfe59dc51ab45d84
http://arxiv.org/abs/2107.06108
http://arxiv.org/abs/2107.06108
Autor:
Huebl, Axel, the openPMD Community
Open frameworks and tools in plasma physics provide potential for complex, cross-domain modeling and analysis activities. Connecting those, standardization efforts aid compatibility and improve usability. We present openPMD (open standard for particl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f794b2ee2a8e46d98587d4a4d9a702c