caa a22 4500 44585202X CHVBK 20180317145416.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s11227-009-0355-9 doi (NATIONALLICENCE)springer-10.1007/s11227-009-0355-9 An effective speedup metric for measuring productivity in large-scale parallel computer systems [Elektronische Daten] [Xuejun Yang, Jing Du, Zhiyuan Wang] With the parallel computer systems scaling-up, the measure index for performance of the systems demands a shift from traditional "high performance” to "high productivity.” This brings a new challenge to defining a synthetic, yet meaningful, measure index of multiple productivity variables; namely computing performance, reliability, energy consumption, parallel software development, etc. Traditional measures for large-scale parallel computer systems merely focus on computing performance, and are incapable of measuring the multiple productivity variables simultaneously in an effective manner. A recently proposed market-related money model, which pursues high utility/cost ratio, relies on money as a measure to consider the multiple productivity variables. Differing from the previous models, this paper proposes a novel system productivity speedup metric for large-scale parallel computer systems. The metric uses speedup instead of money to comprehensively unify the measures of multiple productivity variables. Finally, we propose a trade-off productivity measurement to weigh different productivity variables, to address different design targets. The measurement can facilitate the system evaluation, expose future technique tendencies, and guide future system design. Springer Science+Business Media, LLC, 2009 Large-scale parallel computer system nationallicence Productivity speedup nationallicence Computing performance nationallicence Reliability nationallicence Energy consumption nationallicence Parallel software development nationallicence Yang Xuejun PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut Du Jing PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut Wang Zhiyuan PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/2(2011-05-01), 164-181 0920-8542 56:2<164 2011 56 11227 https://doi.org/10.1007/s11227-009-0355-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0355-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Xuejun PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut NATIONALLICENCE 700 1- Du Jing PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut NATIONALLICENCE 700 1- Wang Zhiyuan PDL, School of Computer, National University of Defense Technology, 410073, Changsha, Hunan, China aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 56/2(2011-05-01), 164-181 0920-8542 56:2<164 2011 56 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer