Equalizing the ratios between workloads and speeds of processing elements provides the optimal speed allocation. Based on that principle, this work describes a dynamic speed setting policy for multiprocessor systems-on-chip (MPSoCs) that relies on the estimation of processor idle times specifically due to the synchronization work. The policy provides two advantages: first, it does not rely on any assumption about the communication pattern of the application executed by the system. Second, it is purely architectural; it automatically detects changes in the system workload and sets processors speeds accordingly by means of a custom hardware block.Results on a parallel MPEG video decoding application show an EDP saving above 55%, averaged over several datasets, corresponding to an energy saving above 50%, and a corresponding penalty in performance below 8%.
M. Loghi, M. Poncino, L. Benini (2006). Synchronization-driven dynamic speed scaling for MPSoCs. NEW YORK, NY : ACM Press.
Synchronization-driven dynamic speed scaling for MPSoCs
BENINI, LUCA
2006
Abstract
Equalizing the ratios between workloads and speeds of processing elements provides the optimal speed allocation. Based on that principle, this work describes a dynamic speed setting policy for multiprocessor systems-on-chip (MPSoCs) that relies on the estimation of processor idle times specifically due to the synchronization work. The policy provides two advantages: first, it does not rely on any assumption about the communication pattern of the application executed by the system. Second, it is purely architectural; it automatically detects changes in the system workload and sets processors speeds accordingly by means of a custom hardware block.Results on a parallel MPEG video decoding application show an EDP saving above 55%, averaged over several datasets, corresponding to an energy saving above 50%, and a corresponding penalty in performance below 8%.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.