Influence of communication optimizations on on-chip multi-processor energy

Designing cost-effective and scalable on-chip multi-processors demand careful attention be paid to software. In particular, if not optimized, the energy consumption due to interprocessor communication can be overwhelming. In this paper, we focus on array-intensive applications and study the energy impact of inter-processor communication optimizations on a private memory based on-chip multi-processor. Our results emphasize the importance of considering both computation energy and communication energy when applying optimizations that reduce inter-processor communication.