Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Keeran Brabazon"'
Autor:
Alberto Bottino, Oliver Perks, Bruce D. Scott, D. P. Coster, O. O. Luk, O. Hoenen, Tomasz Piontek, Piotr Kopta, Bartosz Bosak, Keeran Brabazon
Publikováno v:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
The extreme scaling pattern of the ComPat project is applied to a multi-scale workflow relevant to the magnetically confined fusion problem. This workflow combines transport, turbulence and equilibrium codes (together with additional auxiliaries such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feb1c3974400ad750c4babe9d66fc320
https://hdl.handle.net/21.11116/0000-0003-ADD4-B21.11116/0000-0006-3BD0-D
https://hdl.handle.net/21.11116/0000-0003-ADD4-B21.11116/0000-0006-3BD0-D
Autor:
Derek Groen, Vytautas Jancauskas, Saad Alowayyed, Peter V. Coveney, Piotr Kopta, Bartosz Bosak, Oliver Perks, O. O. Luk, Tomasz Piontek, O. Hoenen, James L. Suter, Krzysztof Kurowski, Alfons G. Hoekstra, Keeran Brabazon, D. P. Coster
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, 91, 335-346. Elsevier
Future Generation Computer Systems, 91, 335-346. Elsevier
We describe our Multiscale Computing Patterns software for High Performance Multiscale Computing. Following a short review of Multiscale Computing Patterns, this paper introduces the Multiscale Computing Patterns Software, which consists of descripti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d36ea4c7b956aeedcf03d0452c07b7e9
https://hdl.handle.net/21.11116/0000-0002-5ACB-521.11116/0000-0002-5ACD-3
https://hdl.handle.net/21.11116/0000-0002-5ACB-521.11116/0000-0002-5ACD-3
Autor:
Erwin Laure, Sai Narasimhamurthy, Stefano Markidis, Sergio Rivas-Gomez, Oliver Perks, Keeran Brabazon
Publikováno v:
HPCC/SmartCity/DSS
In this work, we consider the integration of MPI one-sided communication and non-blocking I/O in HPC-centric MapReduce frameworks. Using a decoupled strategy, we aim to overlap the Map and Reduce phases of the algorithm by allowing processes to commu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9006ff273d5bc3e1d83f0e1e1c514ff
http://arxiv.org/abs/1810.04146
http://arxiv.org/abs/1810.04146