TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Toward Efficient Execution of RVC-CAL Dataflow Programs on Multicore Platforms

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut1507-1517
Sivumäärä11
JulkaisuJournal of Signal Processing Systems
Vuosikerta90
Numero11
Varhainen verkossa julkaisun päivämäärä9 helmikuuta 2018
DOI - pysyväislinkit
TilaJulkaistu - marraskuuta 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

The increasing number of cores in System on Chips (SoC) has introduced challenges in software parallelization. As an answer to this, the dataflow programming model offers a concurrent and reusability promoting approach for describing applications. In this work, a runtime for executing Dataflow Process Networks (DPN) on multicore platforms is proposed. The main difference between this work and existing methods is letting the operating system perform Central processing unit (CPU) load-balancing freely, instead of limiting thread migration between processing cores through CPU affinity. The proposed runtime is benchmarked on desktop and server multicore platforms using five different applications from video coding and telecommunication domains. The results show that the proposed method offers significant improvements over the state-of-art, in terms of performance and reliability.