Data mining analysis to validate performance tuning practices for HPL

Proceedings - IEEE International Conference on Cluster Computing, ICCC

Volumn , Issue , 2009, Pages

  Tan, Tuan Zea ^a   Mong Goh, Rick Siow ^a   March, Verdi ^b,c   See, Simon ^b,d  

^a INSTITUTE OF HIGH PERFORMANCE COMPUTING   (Singapore)

^b SUN MICROSYSTEMS   (United States)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Data mining; HPL; Performance modeling

Indexed keywords

APPLICATION PERFORMANCE; BENCHMARK APPLICATIONS; HIGH PERFORMANCE LINPACK; HPL; PERFORMANCE MODELING; PERFORMANCE TUNING; SIGNIFICANT IMPACTS; SYSTEM EVALUATION; SYSTEM MEMORY;

BENCHMARKING; CLUSTER COMPUTING; COMPUTER SCIENCE; SOIL STRUCTURE INTERACTIONS; TECHNICAL PRESENTATIONS; TUNING;

DATA HANDLING;

EID: 72049103172     PISSN: 15525244     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLUSTR.2009.5289175     Document Type: Conference Paper

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