MULTICORE ARCHITECTURE : Performance Aware Schedulers

This book organized as follows: Chapter 1 thoroughly focused on the overview of the multicore processor, interconnect networks, optimization algorithms, network topology, objectives and challenges. Chapter2 presents literature review and related. It also provides brief details about different scheduling techniques. The chapter 3 provides the overall system model includes multicore system architecture, real time periodic task model and different power states. Chapter 4 investigates the power consumption of N?N 2D mesh interconnect network of multicore architecture. Chapter 5 proposes Single Objective Genetic Algorithm (SOGA) to improve the performance of multicore architecture. Chapter 6 explains how cellular genetic algorithm (CGA) is applied to improve the performance of multicore processor while parallel tasks are given as inputs and it considers the energy consumption as objective function. Chapter 7 proposes multi objective cellular genetic algorithm (MOCGA) to address multiple objective for the improvement of multicore processor when parallel tasks are given as inputs to this architecture. Finally chapter 8 outlines the direction towards future work.