Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Gideon Juve"'
Autor:
Gideon Juve, Rafael Ferreira da Silva, William Allcock, Miron Livny, Ewa Deelman, Douglas Thain, Benjamin Tovar
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:240-253
The user of a computing facility must make a critical decision when submitting jobs for execution: how many resources (such as cores, memory, and disk) should be requested for each job? If the request is too small, the job may fail due to resource ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4ce3bbce70d2adff920d0fd471df37d
https://doi.org/10.1109/tpds.2017.2762310
https://doi.org/10.1109/tpds.2017.2762310
Autor:
Vickie E. Lynch, Jeffrey S. Vetter, Anirban Mandal, Jeremy S. Meredith, Christopher D. Carothers, Ilya Baldin, Brian Tierney, Benjamin Mayer, Rafael Ferreira da Silva, Ewa Deelman, Thomas Proffen, Paul Ruth, Dariusz Król, Gideon Juve, Claris Castillo
Publikováno v:
The International Journal of High Performance Computing Applications. 31:4-18
Computational science is well established as the third pillar of scientific discovery and is on par with experimentation and theory. However, as we move closer toward the ability to execute exascale calculations and process the ensuing extreme-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3686f9028feb6e503b6ca0bf0ae64b6
https://doi.org/10.1177/1094342015594515
https://doi.org/10.1177/1094342015594515
Publikováno v:
IEEE Internet Computing. 20:70-76
The Pegasus Workflow Management System maps abstract, resource-independent workflow descriptions onto distributed computing resources. As a result of this planning process, Pegasus workflows are portable across different infrastructures, optimizable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19422c413e8da96089919397ce97bd7f
https://doi.org/10.1109/mic.2016.15
https://doi.org/10.1109/mic.2016.15
Publikováno v:
Future Generation Computer Systems. 48:1-18
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management of such ensembles under budget and deadl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f351d2ed6ed9e413f36c06bc28facf
https://doi.org/10.1016/j.future.2015.01.004
https://doi.org/10.1016/j.future.2015.01.004
Autor:
Rajiv Mayani, Miron Livny, Rafael Ferreira da Silva, S. Callaghan, Philip Maechling, Gideon Juve, Ewa Deelman, Kent Wenger, Weiwei Chen, Mats Rynge, Karan Vahi
Publikováno v:
Future Generation Computer Systems. 46:17-35
Modern science often requires the execution of large-scale, multi-stage simulation and data analysis pipelines to enable the study of complex systems. The amount of computation and data involved in these pipelines requires scalable workflow managemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b1095e8dcb16293175184c6bfabc1c
https://doi.org/10.1016/j.future.2014.10.008
https://doi.org/10.1016/j.future.2014.10.008
Publikováno v:
WORKS@SC
Computational science researchers running large-scale scientific workflow applications often want to run their workflows on the largest available compute systems to improve time to solution. Workflow tools used in distributed, heterogeneous, high per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b89c845faadaf01443a3215d1aed07cf
https://doi.org/10.1145/3150994.3151003
https://doi.org/10.1145/3150994.3151003
Publikováno v:
Future Generation Computer Systems. 29:682-692
Researchers working on the planning, scheduling, and execution of scientific workflows need access to a wide variety of scientific workflows to evaluate the performance of their implementations. This paper provides a characterization of workflows fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5753d7bdfa8f9b7fa4e1460cc646d05
https://doi.org/10.1016/j.future.2012.08.015
https://doi.org/10.1016/j.future.2012.08.015
Autor:
Rafael Ferreira da Silva, Karan Vahi, Gideon Juve, Jacek Kitowski, Ewa Deelman, Dariusz Król, Mats Rynge
Publikováno v:
ETFA
This paper describes an approach to conduct large-scale parameter studies, where each data point in the study requires the execution of a whole scientific workflow. We show how a parameter studies system can be integrated with a workflow management s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04703a2c9a290ef12a0bb360908bfc4d
https://doi.org/10.1109/etfa.2016.7733677
https://doi.org/10.1109/etfa.2016.7733677
Publikováno v:
HPCS
Recent advances in cloud technologies and on-demand network circuits have created an unprecedented opportunity to enable complex scientific workflow applications to run on dynamic, networked cloud infrastructure. However, it is extremely challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af0bb9e230cf79f0d13dd5c4b87aff34
https://doi.org/10.1109/hpcsim.2016.7568396
https://doi.org/10.1109/hpcsim.2016.7568396
Autor:
Vickie E. Lynch, Anirban Mandal, Rafael Ferreira da Silva, James Wynne, Rajiv Mayani, Ilya Baldin, Paul Ruth, Christopher D. Carothers, Ben Mayer, Justin M. LaPre, Gideon Juve, Ewa Deelman, Jeremy S. Meredith, Dariusz Król, Mark Blanco, Jeffrey S. Vetter, Brian Tierney
Publikováno v:
IPDPS Workshops
Modern science is often conducted on large scale, distributed, heterogeneous and high-performance computing infrastructures. Increasingly, the scale and complexity of both the applications and the underlying execution platforms have been growing. Sci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2291a61f36a5570f1f43517b00c590
https://doi.org/10.1109/ipdpsw.2016.202
https://doi.org/10.1109/ipdpsw.2016.202