Automated techniques for energy efficient scheduling on homogeneous and heterogeneous chip multi-processor architectures

We address performance maximization of independent task sets under energy constraint on chip multi-processor (CMP) architectures that support multiple voltage/frequency operating states for each core. We prove that the problem is strongly NP-hard. We propose polynomial time 2-approximation algorithms for homogeneous and heterogeneous CMPs. To the best of our knowledge, our techniques offer the tightest bounds for energy constrained design on CMP architectures. Experimental results demonstrate that our techniques are effective and efficient under various workloads on several CMP architectures.