Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4987
Title: Principal component and cluster analysis of SPEC CPUint2006 Benchmarks
Alternative title / Subtitle: input data set selection
Authors: Kareem, Abdul P.
Singh, R. A.
Item type: Conference publication
Keywords: Processor;Επεξεργαστής;PCA;SPEC CPU2006;Processor Performance;Moore’s Law;Επίδοση;Νόμος του Moore
Subjects: Technology
Electrical engineering
Τεχνολογία
Ηλεκτρολογία Μηχανολογία
Issue Date: 28-Jan-2015
2009
Date of availability: 28-Jan-2015
Publisher: Νερατζής, Ηλίας
Σιανούδης, Ιωάννης
Abstract: Technological scaling of processor parameters has a critical limit. The Scaling advanced CMOS technology to the next generation effects improves performance, increases transistor density, and reduces power consumption of the processor. In this paper we describe the statistical analysis of SPEC CPUint2006 benchmarks workload and input data selection for microarchitectural research. Today we need a processor which can provide high performance boost for a broad spectrum. We use statistical analysis techniques, Principal Component Analysis (PCA) and Cluster Analysis (CA) for the study of benchmark workload classification using recently published SPEC CPUint2006 performance numbers of thirty Intel’s commercial processors. We calculated five most significant PCs, which are retained for 85% of the variance, PC2, PC3, PC4 and PC5 covers 11.1%, 2.9%, 0.6% and 0.1% variance respectively. We classified the CINT benchmarks in two sub groups. We found that the benchmarks 471.omnetpp, 462.libquantum 403.gcc, and 429.mcf exhibits higher memory wait time. Our results and analysis can be used by performance engineers, scientists and developers to better understand the benchmark workload and select input dataset for better microarchitecture design of the processors.
Language: English
Citation: Kareem, A.P. and Singh, R.A. (2009). Principal component and cluster analysis of SPEC CPUint2006 Benchmarks: input data set selection. "e-Journal of Science & Technology". [Online] 4(3): 79-89. Available from: http://e-jst.teiath.gr/
Journal: e-Περιοδικό Επιστήμης & Τεχνολογίας
e-Journal of Science & Technology
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4987
Appears in Collections:Τόμος 04, τεύχος 3 (2009)

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