MATE: Dynamic performance tuning environment

Anna Morajko, Oleg Morajko, Tomàs Margalef, Emilio Luque

    Research output: Contribution to journalArticleResearchpeer-review

    10 Citations (Scopus)

    Abstract

    Performance is a key issue in the development of parallel/distributed applications. The main goal of these applications is to solve the considered problem as fast as possible utilizing a certain minimum of parallel system capacities. Therefore, developers must optimize these applications if they are to fulfill the promise of high performance computation. To improve performance, programmers search for bottlenecks by analyzing application behavior, finding problems and solving them by changing the source code. These tasks are especially difficult for non-expert programmers. Current approaches require developers to perform optimizations manually and to have a high degree of experience. Moreover, applications may be executed in dynamic environments. Therefore, it is necessary to provide tools that automatically carry out the optimization process by adapting application execution to changing conditions. This paper presents the dynamic tuning approach that addresses these issues. We also describe an environment called MATE (Monitoring, Analysis and Tuning Environment), which provides dynamic tuning of applications. © Springer-Verlag 2004.
    Original languageEnglish
    Pages (from-to)98-107
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3149
    Publication statusPublished - 1 Dec 2004

    Fingerprint Dive into the research topics of 'MATE: Dynamic performance tuning environment'. Together they form a unique fingerprint.

  • Cite this

    Morajko, A., Morajko, O., Margalef, T., & Luque, E. (2004). MATE: Dynamic performance tuning environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3149, 98-107.