Invasive computing: An application assisted resource management approach

Andreas Hollmann; Michael Gerndt

doi:10.1007/978-3-642-31202-1_9

Invasive computing: An application assisted resource management approach

Andreas Hollmann, Michael Gerndt

Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems

Technical University of Munich

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

Abstract

Efficient use of computational resources is essential to get a high performance and a low energy consumption. The operating system (OS) is responsible for managing all system resources in a fair and efficient way. This complex task is, however, accomplished without having any notion about the characteristics of the running applications. The lack of information can cause severe performance degradations, especially on non-uniform memory access (NUMA) multicore architectures with their sensitivity to memory placement. In this paper we present an approach how to augment applications with performance critical properties that can be used for optimizing the resource management within the OS or by user-level tools. We illustrate our concept using the OpenMP parallel programming model.

Original language	English
Title of host publication	Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings
Pages	82-85
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-31202-1_9
State	Published - 2012
Event	International Conference on Multicore Software Engineering, Performance, and Tools, MSEPT 2012 - Prague, Czech Republic Duration: 31 May 2012 → 1 Jun 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7303 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Multicore Software Engineering, Performance, and Tools, MSEPT 2012
Country/Territory	Czech Republic
City	Prague
Period	31/05/12 → 1/06/12

Keywords

OpenMP
numa
parallel programming
resource awareness
resource management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-31202-1_9

Cite this

Hollmann, A., & Gerndt, M. (2012). Invasive computing: An application assisted resource management approach. In Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings (pp. 82-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7303 LNCS). https://doi.org/10.1007/978-3-642-31202-1_9

Hollmann, Andreas ; Gerndt, Michael. / Invasive computing : An application assisted resource management approach. Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings. 2012. pp. 82-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Hollmann, A & Gerndt, M 2012, Invasive computing: An application assisted resource management approach. in Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7303 LNCS, pp. 82-85, International Conference on Multicore Software Engineering, Performance, and Tools, MSEPT 2012, Prague, Czech Republic, 31/05/12. https://doi.org/10.1007/978-3-642-31202-1_9

Invasive computing: An application assisted resource management approach. / Hollmann, Andreas; Gerndt, Michael.
Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings. 2012. p. 82-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7303 LNCS).

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

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Hollmann A, Gerndt M. Invasive computing: An application assisted resource management approach. In Multicore Software Engineering, Performance, and Tools - International Conference, MSEPT 2012, Proceedings. 2012. p. 82-85. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-31202-1_9

Invasive computing: An application assisted resource management approach

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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