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
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;
Conference_Titel :
Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-8186-2775-1
DOI :
10.1109/SHPCC.1992.232630
