Efficient architectures through application clustering and architectural heterogeneity


Lukasz Strozek and David Brooks. 10/22/2006. “Efficient architectures through application clustering and architectural heterogeneity.” In Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems, Pp. 190–200. ACM. Publisher's Version


Customizing architectures for particular applications is a promising approach to yield highly energy-efficient designs for embedded systems. This work explores the benefits of architectural customization for a class of embedded architectures typically used in energy-constrained application domains such as sensor node and multimedia processing. We implement a process flow that analyzes runtime profiles of applications and combines this information with a model for our architectural design space providing a robust customization engine built upon a fully automated method for determining an efficient architecture (together with appropriate application transformations). By profiling embedded benchmarks from a variety of sensor and multimedia applications, the paper shows the relative energy savings resulting from various architectural optimizations and identifies the number of architectures that achieves near-optimal savings for a group of applications. This paper proposes the use of heterogeneous chip-multiprocessors as a cost-effective approach to capitalize on the potential energy savings provided by application customization while executing a range of applications efficiently.

Last updated on 05/03/2022