Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Orcun Yildiz"'
Publikováno v:
IEEE Access, Vol 7, Pp 156929-156955 (2019)
Convergence between high-performance computing (HPC) and big data analytics (BDA) is currently an established research area that has spawned new opportunities for unifying the platform layer and data abstractions in these ecosystems. This work presen
Externí odkaz:
https://doaj.org/article/754198e84bc744878bf41e35187dbef7
Autor:
Orcun Yildiz
Publikováno v:
Proceeding of 8th Thermal and Fluids Engineering Conference (TFEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ab7c1474662edacaffd23f93f1f2c5
https://doi.org/10.1615/tfec2023.enh.045829
https://doi.org/10.1615/tfec2023.enh.045829
Autor:
Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka
Publikováno v:
2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9384e3f6fc1bb0f5951b439d410bacf7
https://doi.org/10.1109/ai4s56813.2022.00006
https://doi.org/10.1109/ai4s56813.2022.00006
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a5404a2b33028f59721ff53fec12d5d
https://doi.org/10.1109/ccgrid54584.2022.00043
https://doi.org/10.1109/ccgrid54584.2022.00043
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ca6690474b130271a4936da3e90e95a
https://doi.org/10.1007/978-3-030-81627-8_7
https://doi.org/10.1007/978-3-030-81627-8_7
Publikováno v:
2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd39d58f8f26b5a7ae5ef92143ea82da
https://doi.org/10.1109/works54523.2021.00009
https://doi.org/10.1109/works54523.2021.00009
Autor:
Subramanian K. R. S. Sankaranarayanan, Tom Peterka, Henry Chan, Rosa M. Badia, Jorge Ejarque, Orcun Yildiz
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Workflow systems promise scientists an automated end-to-end path from hypothesis to discovery. However, expecting any single workflow system to deliver such a wide range of capabilities is impractical. A more practical solution is to compose the end-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09766b5354738cb655f7ca9b2ed76077
https://doi.org/10.1109/mcse.2019.2918766
https://doi.org/10.1109/mcse.2019.2918766
Publikováno v:
CCGrid'21: The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
CCGrid'21: The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2021, Melbourne, Australia
CCGRID
CCGrid'21: The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2021, Melbourne, Australia
CCGRID
International audience; Scientific computation increasingly consists of a workflow of interrelated tasks. Containerization can make workflow systems more manageable, reproducible, and portable, but containers can impede communication due to their foc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::379601db44bbb655c43ed53e79be9724
https://hal.archives-ouvertes.fr/hal-03200931
https://hal.archives-ouvertes.fr/hal-03200931
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, Elsevier, 2016, ⟨10.1016/j.future.2016.02.015⟩
Future Generation Computer Systems, 2016, ⟨10.1016/j.future.2016.02.015⟩
Future Generation Computer Systems, Elsevier, 2016, ⟨10.1016/j.future.2016.02.015⟩
Future Generation Computer Systems, 2016, ⟨10.1016/j.future.2016.02.015⟩
International audience; Hadoop emerged as the de facto state-of-the-art system for MapReduce-based data analytics. The reliability of Hadoop systems depends in part on how well they handle failures. Currently, Hadoop handles machine failures by re-ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c2ceb34959456159e8f5639a17c7fc
https://doi.org/10.1016/j.future.2016.02.015
https://doi.org/10.1016/j.future.2016.02.015
Publikováno v:
ISAV@SC
In situ analysis and visualization have been proposed in high-performance computing (HPC) to enable executing analysis tasks while a simulation is running, bypassing the parallel file system and avoiding the need for storing massive amounts of data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b13c2981f58af34050b382bff2c03038
https://doi.org/10.1145/3364228.3364234
https://doi.org/10.1145/3364228.3364234