Performance issues for engineering analysis on MIMD parallel computers
Conference
·
OSTI ID:10170526
We discuss how engineering analysts can obtain greater computational resolution in a more timely manner from applications codes running on MIMD parallel computers. Both processor speed and memory capacity are important to achieving better performance than a serial vector supercomputer. To obtain good performance, a parallel applications code must be scalable. In addition, the aspect ratios of the subdomains in the decomposition of the simulation domain onto the parallel computer should be of order 1. We demonstrate these conclusions using simulations conducted with the PCTH shock wave physics code running on a Cray Y-MP, a 1024-node nCUBE 2, and an 1840-node Paragon.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 10170526
- Report Number(s):
- SAND--94-0985C; CONF-941142--17; ON: DE94015769; BR: GB0103012
- Country of Publication:
- United States
- Language:
- English
Similar Records
Parallel solid mechanics codes at Sandia National Laboratories
Structural analysis on massively parallel computers
Simulation of hypervelocity impact on massively parallel supercomputer
Conference
·
Mon Aug 01 00:00:00 EDT 1994
·
OSTI ID:10169530
Structural analysis on massively parallel computers
Conference
·
Wed Jul 30 00:00:00 EDT 2003
· Computing Systems in Engineering
·
OSTI ID:6193022
Simulation of hypervelocity impact on massively parallel supercomputer
Conference
·
Fri Dec 30 23:00:00 EST 1994
·
OSTI ID:46562