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

Ilkka Hautala, Jani Boutellier, Teemu Nyländen, Olli Silvén
2018 Journal of Signal Processing Systems  
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
more » ... eely, 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 stateof-art, in terms of performance and reliability.
doi:10.1007/s11265-018-1339-x fatcat:txjhz22e3vgb3cphnql32wki7y