Performance variability of highly parallel architectures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2659, Issue , 2003, Pages 560-569

  Kramer, William T C ^a,b   Ryan, Clint ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEMORY ARCHITECTURE;

COMPUTATIONAL SPEED; DEDICATED SYSTEMS; DESIGN AND EVALUATIONS; DISTRIBUTED MEMORY SYSTEMS; HIGH PERFORMANCE COMPUTERS; PERFORMANCE VARIABILITY; REAL ENVIRONMENTS;

PARALLEL ARCHITECTURES;

EID: 35248854299     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44863-2_55     Document Type: Article

References (7)

1. Woo, Stephan, et al., The SPLASH-2 Programs: Characterization and Methological Considerations, Proc ISCA, June 1995, Santa Margherita Ligure, Italy, pp. 24-36.
2. Henning, John L., SPEC CPU 2000: Measuring CPU performance in the New Millenium, IEEE Computer, July 2000, pp. 28-35.
3. David H. Bailey, et al., The NAS Parallel Benchmarks, Intl. Journal of Supercomputer Applications, vol. 5, no. 3 (Fall 1991), pp. 66-73 http://www.nas.nasa.gov/Research/Reports/Techreports/1996/ nas-96-010-abstract.html
4. William T.C. Kramer and Clint Ryan, Performance Varibility of Highly Parallel Architectures, National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory Report LBNL-52591, March 2003. http://www.nersc.gov/ kramer/variation-systems.pdf
5. Cray T3E System Support Skills, Cray Research Technical documentation, Number R-T3ESSS, Revision R/H, May 1997
6. UNICOS/mk Resource Administration, SG-2602, version 2.0.2
7. IBM Parallel Environment for AIX Dynamic Probe Class Library Programming Guide, Version 3 Release 1, Document Number SA22-7420-00