DocumentCode :
1032119
Title :
Virtual reality and parallel systems performance analysis
Author :
Reed, Daniel A. ; Shields, KeithA ; Scullin, Will H. ; Tavera, Luis F. ; Elford, C.L.
Author_Institution :
Illinois Univ., Urbana, IL, USA
Volume :
28
Issue :
11
fYear :
1995
fDate :
11/1/1995 12:00:00 AM
Firstpage :
57
Lastpage :
67
Abstract :
Scalable parallel systems are becoming the standard architecture for high-performance computing. However, achieving close to peak performance requires careful attention to a plethora of system details. Not only do hundreds of processors interact on a microsecond time scale, but also the space of possible performance optimizations is large, complex, and highly sensitive to both application behavior and system software. If the event frequency is high and the number of processors is large (in the hundreds), the aggregate data rate can be many megabytes/second. Moreover, for a fixed application problem size, both processor-interaction frequency and performance data volume can grow superlinearly with the number of processors. Finally, the relations of specific performance metrics to application performance can vary widely across applications and parallel architectures. To understand these relations while managing potentially large volumes of dynamic performance data, we have developed a data-immersive virtual environment, called Avatar, which explores performance data and provides real-time adaptive control of application behavior
Keywords :
parallel architectures; parallel programming; program control structures; real-time systems; reconfigurable architectures; software metrics; software performance evaluation; virtual reality; Avatar; aggregate data rate; application behavior; application performance; data-immersive virtual environment; dynamic performance data; event frequency; high-performance computing; parallel architecture; parallel systems performance analysis; peak performance; performance data volume; performance metrics; performance optimizations; processor-interaction frequency; processors; real-time adaptive control; scalable parallel systems; system software; virtual reality; Aggregates; Application software; Computer architecture; Concurrent computing; Frequency; Optimization; Performance analysis; System performance; System software; Virtual reality;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/2.471180
Filename :
471180
Link To Document :
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