Engineering Concurrent Software Guided by Statistical Performance Analysis

Bernd Scheuermann; Clemens Grelck; Kevin Hammond; Heinz Hertlein; Philip Hoelzenspies; Chris Jesshope; Raimund Kirner; Alex Shafarenko; Rene te Boekhorst; Volkmar Wieser

doi:10.3233/978-1-61499-041-3-385

Engineering Concurrent Software Guided by Statistical Performance Analysis

Bernd Scheuermann, Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Hoelzenspies, Chris Jesshope, Raimund Kirner, Alex Shafarenko, Rene te Boekhorst, Volkmar Wieser

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chain
maps concurrent programs onto emerging hardware architectures, where costs are
expressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysis
techniques to give overall cost information about the concurrent system that can
be exploited by the hardware virtualisation layer to drive mapping and scheduling
decisions. Initial performance results are presented, showing that the ADVANCE
technologies provide a promising approach to dealing with near- and future-term
complexities of programming heterogeneous multi-core systems.

Original language	English
Title of host publication	Applications, Tools and Techniques on the Road to Exascale Computing
Subtitle of host publication	Proceedings ParCo 2011
Publisher	IOS Press
Pages	385-394
ISBN (Electronic)	978-1-61499-041-3
ISBN (Print)	978-1-61499-040-6
DOIs	https://doi.org/10.3233/978-1-61499-041-3-385
Publication status	Published - 2011

Publication series

Name	Advances in Parallel Computing
Publisher	IOS-Press
Volume	22
ISSN (Print)	0927-5452
ISSN (Electronic)	1879-808X

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10.3233/978-1-61499-041-3-385

Cite this

Scheuermann, B., Grelck, C., Hammond, K., Hertlein, H., Hoelzenspies, P., Jesshope, C., Kirner, R., Shafarenko, A., te Boekhorst, R., & Wieser, V. (2011). Engineering Concurrent Software Guided by Statistical Performance Analysis. In Applications, Tools and Techniques on the Road to Exascale Computing: Proceedings ParCo 2011 (pp. 385-394). (Advances in Parallel Computing; Vol. 22). IOS Press. https://doi.org/10.3233/978-1-61499-041-3-385

@inproceedings{bb616e15fe1643119200b739fc682596,

title = "Engineering Concurrent Software Guided by Statistical Performance Analysis",

abstract = "This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chainmaps concurrent programs onto emerging hardware architectures, where costs areexpressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysistechniques to give overall cost information about the concurrent system that canbe exploited by the hardware virtualisation layer to drive mapping and schedulingdecisions. Initial performance results are presented, showing that the ADVANCEtechnologies provide a promising approach to dealing with near- and future-termcomplexities of programming heterogeneous multi-core systems.",

author = "Bernd Scheuermann and Clemens Grelck and Kevin Hammond and Heinz Hertlein and Philip Hoelzenspies and Chris Jesshope and Raimund Kirner and Alex Shafarenko and {te Boekhorst}, Rene and Volkmar Wieser",

year = "2011",

doi = "10.3233/978-1-61499-041-3-385",

language = "English",

isbn = "978-1-61499-040-6",

series = "Advances in Parallel Computing",

publisher = "IOS Press",

pages = "385--394",

booktitle = "Applications, Tools and Techniques on the Road to Exascale Computing",

address = "Netherlands",

}

Scheuermann, B, Grelck, C, Hammond, K, Hertlein, H, Hoelzenspies, P, Jesshope, C, Kirner, R, Shafarenko, A, te Boekhorst, R & Wieser, V 2011, Engineering Concurrent Software Guided by Statistical Performance Analysis. in Applications, Tools and Techniques on the Road to Exascale Computing: Proceedings ParCo 2011. Advances in Parallel Computing, vol. 22, IOS Press, pp. 385-394. https://doi.org/10.3233/978-1-61499-041-3-385

Engineering Concurrent Software Guided by Statistical Performance Analysis. / Scheuermann, Bernd; Grelck, Clemens; Hammond, Kevin et al.
Applications, Tools and Techniques on the Road to Exascale Computing: Proceedings ParCo 2011. IOS Press, 2011. p. 385-394 (Advances in Parallel Computing; Vol. 22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Engineering Concurrent Software Guided by Statistical Performance Analysis

AU - Scheuermann, Bernd

AU - Grelck, Clemens

AU - Hammond, Kevin

AU - Hertlein, Heinz

AU - Hoelzenspies, Philip

AU - Jesshope, Chris

AU - Kirner, Raimund

AU - Shafarenko, Alex

AU - te Boekhorst, Rene

AU - Wieser, Volkmar

PY - 2011

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N2 - This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chainmaps concurrent programs onto emerging hardware architectures, where costs areexpressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysistechniques to give overall cost information about the concurrent system that canbe exploited by the hardware virtualisation layer to drive mapping and schedulingdecisions. Initial performance results are presented, showing that the ADVANCEtechnologies provide a promising approach to dealing with near- and future-termcomplexities of programming heterogeneous multi-core systems.

AB - This paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chainmaps concurrent programs onto emerging hardware architectures, where costs areexpressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysistechniques to give overall cost information about the concurrent system that canbe exploited by the hardware virtualisation layer to drive mapping and schedulingdecisions. Initial performance results are presented, showing that the ADVANCEtechnologies provide a promising approach to dealing with near- and future-termcomplexities of programming heterogeneous multi-core systems.

U2 - 10.3233/978-1-61499-041-3-385

DO - 10.3233/978-1-61499-041-3-385

M3 - Conference contribution

SN - 978-1-61499-040-6

T3 - Advances in Parallel Computing

SP - 385

EP - 394

BT - Applications, Tools and Techniques on the Road to Exascale Computing

PB - IOS Press

ER -

Engineering Concurrent Software Guided by Statistical Performance Analysis

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