Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Florin Isaila"'
Publikováno v:
The Journal of Supercomputing. 73:5465-5495
The increasing data demands of applications from various domains and the decreasing relative power cost of CPU computation have gradually exposed data movement cost as the prominent factor of energy consumption in computing systems. The traditional o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2130517298a385e972a8daefd6a80539
https://doi.org/10.1007/s11227-017-2095-6
https://doi.org/10.1007/s11227-017-2095-6
Autor:
Florin Isaila, Javier Garcia Blas, Jesus Carretero, Francisco Rodrigo Duro, Robert Ross, Justin M. Wozniak
Publikováno v:
Parallel Computing. 61:52-67
The increasing volume of scientific data and the limited scalability and performance of storage systems are currently presenting a significant limitation for the productivity of the scientific workflows running on both high-performance computing (HPC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b19a4a482c4aaeda95a0582cac36cf
https://doi.org/10.1016/j.parco.2016.10.003
https://doi.org/10.1016/j.parco.2016.10.003
Autor:
Javier Garcia Blas, Pablo Llopis, Manuel F. Dolz, Mohammad Reza Heidari, Michael Kuhn, Florin Isaila
Publikováno v:
The Journal of Supercomputing. 72:4089-4106
Data movement is a key aspect of energy consumption in modern computing systems. As computation becomes more energy efficient, the cost of data movement gradually becomes a more relevant issue, especially in high-performance computing systems. The re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aeba3c8ae8c5178c26a733d754e5971
https://doi.org/10.1007/s11227-016-1729-4
https://doi.org/10.1007/s11227-016-1729-4
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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The ever-increasing data needs of scientific and engineering applications require novel approaches to managing and exploring huge amounts of information in order to advance scientific discovery. In order to achieve this goal, one of the main prioriti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::743d7d7a6d0022fd3294b1b08fea4abe
https://hdl.handle.net/10016/34943
https://hdl.handle.net/10016/34943
Publikováno v:
CCGrid
Nowadays there is a raising interest in bridging the gap between Big Data application models and data-intensive HPC. This work explores the effects that Big Data-inspired paradigms could have in current scientific applications through the evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3998dd7e3e14c1b7aa52a3abc6e390
https://doi.org/10.1109/ccgrid.2017.55
https://doi.org/10.1109/ccgrid.2017.55
Publikováno v:
High-Performance Computing on Complex Environments
This chapter presents a scalable storage I/O software solution for the hierarchical architecture of Blue Gene supercomputers based on collective I/O optimizations, file views, and pipelined data staging. At the compute node level, application process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e5e48737b01c930f562f6504b484913
https://doi.org/10.1002/9781118711897.ch8
https://doi.org/10.1002/9781118711897.ch8
Publikováno v:
The Computer Journal. 57:1017-1032
Increasingly, large-scale computing systems are consuming more power each passing year. As power consumption is on the rise, concern has been raised over the growing implications on power bills, carbon emissions, and power supply limitations for data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba5dbd9a86f825d36079addf4f11c401
https://doi.org/10.1093/comjnl/bxt058
https://doi.org/10.1093/comjnl/bxt058
Publikováno v:
COM-HPC 2016-1st Workshop on Optimization of Communication in HPC runtime systems IEEE
COM-HPC 2016-1st Workshop on Optimization of Communication in HPC runtime systems IEEE, Nov 2016, Salt-Lake City, United States. pp.73-81
COM-HPC 2016-1st Workshop on Optimization of Communication in HPC runtime systems IEEE, Nov 2016, Salt-Lake City, United States. pp.73-81
International audience; Reading and writing data efficiently from storage systems is critical for high performance data-centric applications. These I/O systems are being increasingly characterized by complex topologies and deeper memory hierarchies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fce33a4dd5ecdd2964f4640c612ac14
https://hal.inria.fr/hal-01394741/file/topoIO-paper.pdf
https://hal.inria.fr/hal-01394741/file/topoIO-paper.pdf
Autor:
Javier Garcia Blas, Florin Isaila, Justin M. Wozniak, Robert Ross, Jesus Carretero, Francisco Rodrigo Duro
Publikováno v:
CCGrid
This paper explores novel techniques for improving the performance of many-task workflows based on the Swift scripting language. We propose novel programmer options for automated distributed data placement and task scheduling. These options trigger a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1480fc2668163f92976c5497e864ad3
https://doi.org/10.1109/ccgrid.2016.40
https://doi.org/10.1109/ccgrid.2016.40
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 22:946-959
Parallel applications currently suffer from a significant imbalance between computational power and available I/O bandwidth. Additionally, the hierarchical organization of current Petascale systems contributes to an increase of the I/O subsystem late
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27894fa42345e4201e31c0b396cb338c
https://doi.org/10.1109/tpds.2010.127
https://doi.org/10.1109/tpds.2010.127