DocumentCode
3287282
Title
On the influence of programming models on shared memory computer performance
Author
Ngo, Ton A. ; Snyder, Lawrence
Author_Institution
Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
fYear
1992
fDate
26-29 Apr 1992
Firstpage
284
Lastpage
291
Abstract
Experiments are presented indicating that on shared-memory machines, programs written in the nonshared-memory programming model generally offer better performance, in addition to being more portable and scalable. The authors study the LU decomposition problem and a molecular dynamics simulation on three shared-memory machines with widely differing architectures, and analyze the results from three perspectives: performance, speedup, and scaling
Keywords
digital simulation; molecular dynamics method; parallel architectures; parallel programming; performance evaluation; physics computing; shared memory systems; LU decomposition; architectures; computer performance; molecular dynamics simulation; portability; programming models; scaling; shared-memory machines; speedup; Analytical models; Computational modeling; Computer performance; Computer science; Concurrent computing; Costs; Dynamic programming; Jacobian matrices; Parallel programming; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
Conference_Location
Williamsburg, VA
Print_ISBN
0-8186-2775-1
Type
conf
DOI
10.1109/SHPCC.1992.232630
Filename
232630
Link To Document