Thumbnail
Access Restriction
Subscribed

Author Smirni, Evgenia ♦ Rosti, Emilia ♦ Squillante, Mark S. ♦ Serazzi, Giuseppe
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract In this paper we systematically examine various performance issues involved in the coordinated allocation of processor and disk resources in large-scale parallel computer systems. Models are formulated to investigate the I/O and computation behavior of parallel programs and workloads, and to analyze parallel scheduling policies under such workloads. These models are parameterized by measurements of parallel programs, and they are solved via analytic methods and simulation. Our results provide important insights into the performance of parallel applications and resource management strategies when I/O demands are not negligible.
Description Affiliation: Department of Computer Science, College of William and Mary, Williamsburg, VA (Smirni, Evgenia) || Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy (Serazzi, Giuseppe) || Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Milano, Italy (Rosti, Emilia) || IBM Research Division, T. J. Watson Research Center, Yorktown Heights, NY (Squillante, Mark S.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 26
Issue Number 1
Page Count 10
Starting Page 56
Ending Page 65


Open content in new tab

   Open content in new tab
Source: ACM Digital Library