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.
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References
Terboven, C., Mey, D.A., Schmidl, D., Jin, H., Reichstein, T.: Data and Thread Affinity in OpenMP Programs. In: Proceedings of the 2008 Workshop on Memory Access on Future Processors, MAW 2008 (2008)
Teich, J., Henkel, J., Herkersdorf, A., Schmitt-Landsiedel, D., Schröder-Preikschat, W., Snelting, G.: Invasive Computing: An Overview. In: Multiprocessor System-on-Chip - Hardware Design and Tool Integration. Springer (2011)
Kleen, A.: A NUMA API for LINUX, Novell, Technical Linux Whitepaper (April 2005)
Lankes, S., Bierbaum, B., Bemmerl, T.: Affinity-On-Next-Touch: An Extension to the Linux Kernel for NUMA Architectures. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds.) PPAM 2009. LNCS, vol. 6067, pp. 576–585. Springer, Heidelberg (2010)
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Hollmann, A., Gerndt, M. (2012). Invasive Computing: An Application Assisted Resource Management Approach. In: Pankratius, V., Philippsen, M. (eds) Multicore Software Engineering, Performance, and Tools. MSEPT 2012. Lecture Notes in Computer Science, vol 7303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31202-1_9
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DOI: https://doi.org/10.1007/978-3-642-31202-1_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31201-4
Online ISBN: 978-3-642-31202-1
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