Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Justin M. Wozniak"'
Autor:
Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov, Ketan Maheshwari, Aymen Alsaadi, Andre Merzky, Ramon Arambula, Mikhail Zakharchanka, Matt Cowan, Justin M. Wozniak, Andreas Wilke, Ozgur Ozan Kilic, Kyle Chard, Rafael Ferreira da Silva, Shantenu Jha, Daniel Laney
Publikováno v:
Frontiers in High Performance Computing, Vol 2 (2024)
Scientific discovery increasingly requires executing heterogeneous scientific workflows on high-performance computing (HPC) platforms. Heterogeneous workflows contain different types of tasks (e.g., simulation, analysis, and learning) that need to be
Externí odkaz:
https://doaj.org/article/42a903246802413aa6ba2b3d43d7edca
Autor:
Jonathan Ozik, Nicholson Collier, Justin M. Wozniak, Charles Macal, Chase Cockrell, Samuel H. Friedman, Ahmadreza Ghaffarizadeh, Randy Heiland, Gary An, Paul Macklin
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 81-97 (2018)
Abstract Background Cancer is a complex, multiscale dynamical system, with interactions between tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host system, sometimes with unexpected results. Systematic investigation
Externí odkaz:
https://doaj.org/article/3b54ab4e9252442b8bb4f95b1ea476f1
Autor:
Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson T. Collier, John Bauer, Fangfang Xia, Thomas Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia Cardona, Brian Van Essen, Matthew Baughman
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 59-69 (2018)
Abstract Background Current multi-petaflop supercomputers are powerful systems, but present challenges when faced with problems requiring large machine learning workflows. Complex algorithms running at system scale, often with different patterns that
Externí odkaz:
https://doaj.org/article/4833161dbb994c5f880dc0f042602862
Autor:
Azza E Ahmed, Jacob Heldenbrand, Yan Asmann, Faisal M Fadlelmola, Daniel S Katz, Katherine Kendig, Matthew C Kendzior, Tiffany Li, Yingxue Ren, Elliott Rodriguez, Matthew R Weber, Justin M Wozniak, Jennie Zermeno, Liudmila S Mainzer
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0211608 (2019)
Bioinformatics research is frequently performed using complex workflows with multiple steps, fans, merges, and conditionals. This complexity makes management of the workflow difficult on a computer cluster, especially when running in parallel on larg
Externí odkaz:
https://doaj.org/article/1e09fc94f6494e458150290d4c0cf43d
Publikováno v:
2022 IEEE 18th International Conference on e-Science (e-Science).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b288aa36f53e148bf2610cc76226d1e0
https://doi.org/10.1109/escience55777.2022.00082
https://doi.org/10.1109/escience55777.2022.00082
Autor:
Todd Munson, Ian Foster, Shinjae Yoo, Hubertus J. J. van Dam, Igor Yakushin, Zichao Di, Line Pouchard, Manish Parashar, Kerstin Kleese van Dam, Ali Murat Gok, Kevin Huck, Xin Liang, Ozan Tugluk, Lipeng Wan, Justin M. Wozniak, Wei Xu, Kshitij Mehta, Jong Choi, Matthew Wolf, Mark Ainsworth, Julie Bessac, Franck Cappello, Sheng Di, Tom Peterka, Hanqi Guo, Scott Klasky, Christopher Kelly, Tong Shu
Publikováno v:
The International Journal of High Performance Computing Applications. 35:617-635
A growing disparity between supercomputer computation speeds and I/O rates means that it is rapidly becoming infeasible to analyze supercomputer application output only after that output has been written to a file system. Instead, data-generating app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc0cd3bc3849a16706213a3032645b2
https://doi.org/10.1177/10943420211023549
https://doi.org/10.1177/10943420211023549
Publikováno v:
Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dda9b30741ffd101972a3f4a7b1c1069
https://doi.org/10.1145/3526058.3535453
https://doi.org/10.1145/3526058.3535453
Publikováno v:
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d49e89a6a501168deb46c18d39de1e34
https://doi.org/10.1007/978-3-030-96498-6_14
https://doi.org/10.1007/978-3-030-96498-6_14
Autor:
Li Tang, Matthieu Dorier, Tong Shu, Matthew Wolf, Justin M. Wozniak, Robert Ross, Norbert Podhorszki, Tahsin Kurc
Publikováno v:
Future Generation Computer Systems. 101:576-589
While the use of workflows for HPC is growing, MPI interoperability remains a challenge for workflow management systems. The MPI standard and/or its implementations provide a number of ways to build multiple-programs-multiple-data (MPMD) applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cdeaaa2968cda75e9d5345aa99be5b0
https://doi.org/10.1016/j.future.2019.05.020
https://doi.org/10.1016/j.future.2019.05.020
Publikováno v:
SC
In an in-situ workflow, multiple components such as simulation and analysis applications are coupled with streaming data transfers. The multiplicity of possible configurations necessitates an auto-tuner for workflow optimization. Existing auto-tuning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5900c1874b09540bcf53abf26ca0434
https://doi.org/10.1145/3458817.3476197
https://doi.org/10.1145/3458817.3476197