Abstract
Scientific computation faces multiple scalability challenges in trying to take advantage of the latest generation compute, network and graphics hardware. We present a comprehensive approach to solving four important scalability challenges: programming productivity, scalability to large numbers of processors, I/O bandwidth, and interactive visualization of large data. We describe a scenario where our integrated system is applied in the field of numerical relativity. A solver for the governing Einstein equations is generated and executed on a large computational cluster; the simulation output is distributed onto a distributed data server, and finally visualized using distributed visualization methods and high-speed networks. A demonstration of this system was awarded first place in the IEEE SCALE 2009 Challenge.
Original language | English (US) |
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Pages (from-to) | 205-220 |
Number of pages | 16 |
Journal | Scalable Computing |
Volume | 11 |
Issue number | 2 |
State | Published - Jan 1 2010 |
Externally published | Yes |
Keywords
- Computer algebra systems
- Data intensive applications
- Distributed systems
- High performance computing
- High speed networks
- Problem solving environment
- Scientific visualization
ASJC Scopus subject areas
- Computer Science(all)