Using Game Theory for Scheduling Tasks on Multi-Core Processors for Simultaneous Optimization of Performance and Energy

Multi-core processors are beginning to revolutionize the landscape of high-performance computing. In this paper, the authors address the problem of power-aware scheduling/mapping of tasks onto heterogeneous and homogeneous multi-core processor architectures. The objective of scheduling is to minimize the energy consumption as well as the makespan of computationally intensive problems. The multi-objective optimization problem is not properly handled by conventional approaches that try to maximize a single objective. Their proposed solution is based on game theory.