NDLI: Scalability Analysis and Evaluation of Divisible Load Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Balasubramaniam, M. Banicescu, I. Ciorba, F.M.
Copyright Year	2014
Description	Author affiliation: Center for Inf. Services & High Performance Comput., Tech. Univ., Dresden, Germany (Ciorba, F.M.) \|\| Dept. of Comput. Sci. & Eng., Mississippi State Univ., Starkville, MS, USA (Balasubramaniam, M.; Banicescu, I.)
Abstract	In this work, we address the problem of the scalability of divisible load scheduling of data parallel workloads (also called arbitrarily divisible workloads) on high performance parallel and distributed computing systems. Divisible load theory offers a linear, deterministic, and tractable model for scheduling arbitrarily divisible workloads, often encountered in scientific applications. With the continuous increasing problem and the system sizes, it is imperative that application scheduling algorithms scale well to leverage the processing capabilities of the high performance computing systems. We conduct an analytical evaluation as well as a simulation-based study of the scalability of divisible load scheduling algorithms, called DLT algorithms, when applied for scheduling two NAS parallel benchmarks, namely, the embarrassingly parallel (EP) and the integer sort (IS) benchmarks onto a target system modeled as a 3-d torus topology. The EP benchmark is computationally intensive and the IS benchmark is communication intensive. Two questions related to the scalability study are addressed, namely, the fastest time to solve the problem and the condition for cost-optimality. A simulation-based study was conducted to support and verify the solutions obtained via the analytical model.
Starting Page	37
Ending Page	44
File Size	311908
Page Count	8
File Format	PDF
ISBN	9781479956159
ISSN	15302016
DOI	10.1109/ICPPW.2014.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Benchmark testing Computational modeling Scalability Load modeling Mathematical model Processor scheduling Runtime high performance computing systems Divisible load theory scalability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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