Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems
2015 (English)In: Proceedings - IEEE 9th International Symposium on Embedded Multicore/Manycore SoCs, MCSoC 2015, 2015, 135-142 p.Conference paper (Refereed)Text
Cyber Physical Systems (CPS) are typically implemented on multicore platforms to handle computational pressure and performance requirements. Complex data flows in those applications cause contention among networked processors, resulting in unpredictable performance. In this work, we explore the impact of application mapping on network contention and predictability. A mapping algorithm focusing on minimizing the number of shared paths while not worsening the total path count is proposed. This algorithm is verified against other recent works over synthetic and realistic traffic patterns. The proposed algorithm considerably improved predictability with 0% shared paths and reasonable latency constraints compared to the other recently proposed algorithms.
Place, publisher, year, edition, pages
2015. 135-142 p.
Application mapping, Cyber-Physical Systems (CPS), Networks-on-chip (NoC), Predictability, Algorithms, Complex networks, Conformal mapping, Embedded systems, Mapping, Real time systems, Cyber physical systems (CPSs), Improved predictability, Minimizing the number of, Networks on chips, Performance requirements, Network-on-chip
IdentifiersURN: urn:nbn:se:kth:diva-186827DOI: 10.1109/MCSoC.2015.36ISI: 000380390400018ScopusID: 2-s2.0-84962708233ISBN: 9781479986699OAI: oai:DiVA.org:kth-186827DiVA: diva2:931390
9th IEEE International Symposium on Embedded Multicore/Manycore SoCs, MCSoC 2015, 23 September 2015 through 25 September 2015
QC 201605272016-05-272016-05-132016-08-23Bibliographically approved