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Towards automatic adaptation of resource requirements to actual workload for task-based programming models
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS. (Multicore center)ORCID iD: 0000-0002-7860-6593
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.ORCID iD: 0000-0002-9637-2065
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Given the considerate amounts of research on task-based parallel programming models for maximizing performance, this project tries to go one step further and investigate mul- tiprogrammed many-core systems. We provide a mathemat- ical model for a parallel runtime that automatically adapts the need for resources to the workload actually produced. The programming model developed is based on other well established models like Cilk++ and Wool.

The paper concludes with two conditions that guarantee over-utilization and under-utilization of of the existing work- ers without having to capture eciency metrics periodically.

The work presented here is the rst step towards a com- plete framework for the system-wide scheduling and load balancing of multiprogrammed many-core system, assuming a variety of workload types and guaranteeing at least average execution for each running program.

Place, publisher, year, edition, pages
2012.
Keyword [en]
Scheduling, parallel programming, multicore, manycore
National Category
Software Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-107671OAI: oai:DiVA.org:kth-107671DiVA: diva2:577058
Conference
MCC-2012. Fifth Swedish Workshop on Multicore Computing. KTH University. Stockholm, Sweden. November 22-23, 2012
Funder
Swedish eā€Science Research Center
Note

QC 20130114

Available from: 2013-01-14 Created: 2012-12-14 Last updated: 2013-09-10Bibliographically approved

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mcc_12.pdf(221 kB)147 downloads
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CiteExportLink to record
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Citation style
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