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pro vyhledávání: '"Zafari, Afshin"'
Autor:
Zafari, Afshin, Larsson, Elisabeth
In this paper, we derive and investigate approaches to dynamically load balance a distributed task parallel application software. The load balancing strategy is based on task migration. Busy processes export parts of their ready task queue to idle pr
Externí odkaz:
http://arxiv.org/abs/1801.04582
Autor:
Zafari, Afshin, Larsson, Elisabeth, Righero, Marco, Francavilla, M. Alessandro, Giordanengo, Giorgio, Vipiana, Francesca, Vecchi, Giuseppe
Electromagnetic computations, where the wavelength is small in relation to the geometry of interest, become computationally demanding. In order to manage computations for realistic problems like electromagnetic scattering from aircraft, the use of pa
Externí odkaz:
http://arxiv.org/abs/1801.03589
Current high-performance computer systems used for scientific computing typically combine shared memory computational nodes in a distributed memory environment. Extracting high performance from these complex systems requires tailored approaches. Task
Externí odkaz:
http://arxiv.org/abs/1801.03578
Autor:
Zafari, Afshin
Task based parallel programming has shown competitive outcomes in many aspects of parallel programming such as efficiency, performance, productivity and scalability. Different approaches are used by different software development frameworks to provid
Externí odkaz:
http://arxiv.org/abs/1705.02970
Publikováno v:
In Parallel Computing December 2019 90
Autor:
Zafari, Afshin
It has become common knowledge that parallel programming is needed for scientific applications, particularly for running large scale simulations. Different programming models are introduced for simplifying parallel programming, while enabling an appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9d421cfc80e967dcf10a9d21cba956ff
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338838
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-338838
Publikováno v:
2012 IEEE 15th International Conference on Computational Science & Engineering; 1/ 1/2012, p275-280, 6p
Autor:
Zafari, Narges, Bahramy, Afshin, Majidi Zolbin, Masoumeh, Emadi Allahyari, Sima, Farazi, Erfan, Hassannejad, Zahra, Yekaninejad, Mir Saeed
Publikováno v:
Expert Review of Molecular Diagnostics; Apr2022, Vol. 22 Issue 4, p479-495, 17p
Publikováno v:
2012 IEEE 15th International Conference on Computational Science & Engineering; 1/ 1/2012, p694-697, 4p
This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and