A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals
Tekijät: Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt
Toimittaja: Jürgen Teich, Franco Fummi
Konferenssin vakiintunut nimi: Design, Automation & Test in Europe Conference & Exhibition
Julkaisuvuosi: 2019
Journal: Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
Kokoomateoksen nimi: Proceedings of the 2019 Design, Automation & Test in Europe (DATE)
Tietokannassa oleva lehden nimi: 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)
Lehden akronyymi: DES AUT TEST EUROPE
Sarjan nimi: Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
Aloitussivu: 1397
Lopetussivu: 1402
Sivujen määrä: 6
ISBN: 978-3-9819263-2-3
ISSN: 1530-1591
DOI: https://doi.org/10.23919/DATE.2019.8715134
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/41241772
Run-time resource allocation of heterogeneous multi-core systems is challenging with varying workloads and limited power and energy budgets. User interaction within these systems changes the performance requirements, often conflicting with concurrent applications' objective and system constraints. Current resource allocation approaches focus on optimizing fixed objective, ignoring the variation in system and applications' objective at run-time. For an efficient resource allocation, the system has to operate autonomously by formulating a hierarchy of goals. We present goal-driven autonomy (GDA) for on-chip resource allocation decisions, which allows systems to generate and prioritize goals in response to the workload and system dynamic variation. We implemented a proof-of-concept resource management framework that integrates the proposed goal management control to meet power, performance and user requirements simultaneously. Experimental results on an Exynos platform containing ARM's big. LITTLE-based heterogeneous multi-processor (HMP) show the effectiveness of GDA in efficient resource allocation in comparison with existing fixed objective policies.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
