A4 Artikkeli konferenssijulkaisussa
Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems




Julkaisun tekijät: Anil Kanduri, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
Julkaisuvuosi: 2015
Kirjan nimi *: IEEE 9th International Symposium on Embedded Multicore/Manycore SoCs. Proceedings
ISBN: 978-1-4799-8669-9

Tiivistelmä

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.


Last updated on 2019-29-01 at 18:08