Name
Abstract | ||
|---|---|---|
The use of simulation based engineering taking advantage of massively parallel computing methods by industry is limited due to the costs associated with developing and using high performance computing software and systems. To address industries ability to effectively include large-scale parallel simulations in daily production use, two key areas need to be addressed. The first is access to large-scale parallel computing systems that are cost effective to use. The second is support for complete simulation workflow execution on these systems by industrial users. This paper presents an approach, and set of associated software components, that can support industrial users on large-scale parallel computing systems available at various national laboratories, universities, or on clouds. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2792745.2792786 | XSEDE |
Field | DocType | Citations |
Data-intensive computing,Supercomputer,Massively parallel,Computer science,Software,Component-based software engineering,Workflow,Science gateway,Distributed computing | Conference | 1 |
PageRank | References | Authors |
0.39 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cameron W. Smith | 1 | 20 | 5.14 |
| Steven Tran | 2 | 1 | 0.39 |
| Onkar Sahni | 3 | 124 | 15.10 |
| Farhad Behafarid | 4 | 1 | 0.39 |
| Mark S. Shephard | 5 | 479 | 67.67 |
| Raminderjeet Singh | 6 | 38 | 6.52 |