Authors: R. Karthick; M. Sundararajan
Addresses: Department of ECE, Bharath University, Chennai, India ' Bharath University, 173, New Agaram Rd., Selaiyur, Chennai, Tamil Nadu 600073, India
Abstract: In this work, the influence of the dynamic task scheduling process is examined. Out-of-order (OoO) implementation processes exhibit remarkable guarantee for task-level parallelism in multiprocessor system-on-chip (MPSOC) designs. The superior performance can be attained with the help of a precise mapping of tasks onto the right processors. Hence, to obtain this performance, a SPIDER-based task parallelism is presented in this work. The software related dynamic operations are illustrated on a heterogeneous MPSOC (Ht-MPSOC). SPIDER abides by a cooperative population-based search, which demonstrates upon the social activities of SPIDER grouping. SPIDER system merges local search approaches with global search approaches. This implementation decreases the issue of task management. The performance of the proposed design is compared with the existing work for power, area and speed analysis.
Keywords: multiprocessor SOC; SPIDER; task-level parallelism; out-of-order implementation.
International Journal of Advanced Intelligence Paradigms, 2021 Vol.19 No.1, pp.28 - 41
Received: 05 Apr 2017
Accepted: 20 Dec 2017
Published online: 08 Apr 2021 *