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Mimer and Schedeval: Tools for Comparing Static Schedulers for Streaming Applications on Manycore Architectures
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1940-3331
Uppsala University, Sweden.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5241-0026
2015 (English)In: 2015 44TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS, IEEE , 2015, 146-155 p.Conference paper (Refereed)Text
Abstract [en]

Scheduling algorithms published in the scientific literature are often difficult to evaluate or compare due to differences between the experimental evaluations in any two papers on the topic. Very few researchers share the details about the scheduling problem instances they use in their evaluation section, the code that allows them to transform the numbers they collect into the results and graphs they show, nor the raw data produced in their experiments. Also, many scheduling algorithms published are not tested against a real processor architecture to evaluate their efficiency in a realistic setting. In this paper, we describe Mimer, a modular evaluation tool-chain for static schedulers that enables the sharing of evaluation and analysis tools employed to elaborate scheduling papers. We propose Schedeval that integrates into Mimer to evaluate static schedules of streaming applications under throughput constraints on actual target execution platforms. We evaluate the performance of Schedeval at running streaming applications on the Intel Single-Chip Cloud computer (SCC), and we demonstrate the usefulness of our tool-chain to compare existing scheduling algorithms. We conclude that Mimer and Schedeval are useful tools to study static scheduling and to observe the behavior of streaming applications when running on manycore architectures.

Place, publisher, year, edition, pages
IEEE , 2015. 146-155 p.
Series
, International Conference on Parallel Processing Workshops, ISSN 1530-2016
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-130085DOI: 10.1109/ICPPW.2015.24ISI: 000377378800021ISBN: 978-1-4673-7589-4OAI: oai:DiVA.org:liu-130085DiVA: diva2:946917
Conference
44th Annual International Conference on Parallel Processing Workshops (ICPPW)
Available from: 2016-07-06 Created: 2016-07-06 Last updated: 2016-07-06

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Melot, NicolasKessler, Christoph
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