Tampere University of Technology

TUTCRIS Research Portal

Power Mitigation by Performance Equalization in a Heterogeneous Reconfigurable Multicore Architecture

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Pages (from-to)287–297
Number of pages11
JournalJournal of Signal Processing Systems
Issue number3
Early online date5 May 2016
Publication statusPublished - Jun 2017
Publication typeA1 Journal article-refereed


This paper presents an integrated self-aware computing model mitigating the power dissipation of a heterogeneous reconfigurable multicore architecture by dynamically scaling the operating frequency of each core. The power mitigation is achieved by equalizing the performance of all the cores for an uninterrupted exchange of data. The multicore platform consists of heterogeneous Coarse-Grained Reconfigurable Arrays (CGRAs) of application-specific sizes and a Reduced Instruction-Set Computing (RISC) core. The CGRAs and the RISC core are integrated with each other over a Network-on-Chip (NoC) of six nodes arranged in a topology of two rows and three columns. The RISC core constantly monitors and controls the performance of each CGRA accelerator by adjusting the operating frequencies unless the performance of all the CGRAs is optimally balanced over the platform. The CGRA cores on the platform are processing some of the most computationally-intensive signal processing algorithms while the RISC core establishes packet based synchronization between the cores for computation and communication. All the cores can access each other’s computational and memory resources while processing the kernels simultaneously and independently of each other. Besides general-purpose processing and overall platform supervision, the RISC processor manages performance equalization among all the cores which mitigates the overall dynamic power dissipation by 20.7 % for a proof-of-concept test.


  • CGRA, Dark silicon, Heterogeneous, Multicore, Power dissipation, Reconfigurable

Publication forum classification