Energy-optimal software partitioning in heterogeneous multiprocessor embedded systems

Embedded systems with heterogeneous processors extend the energy/timing trade-off flexibility and provide the opportunity to fine tune resource utilization for particular applications. In this paper, we present a resource model that considers the time and energy costs of run-time mode switching, which considerably improves the accuracy of existing models. Given an application, the software partitioning problem then becomes an optimization over energy cost given deadline constraints, which can be formulate as an integer linear programming (ILP) problem. We apply the resource modeling and software partitioning techniques to a multimodule embedded sensing device, the mPlatform, and present a case study of configuring the platform for a real-time sound source localization application on a stack of MSP430 and ARM7 processor based sensing and processing boards. Categories and Subject Descriptors C.3 [SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS]: Real-time and embedded systems General Term...

• Type: Conference
• Year: 2008
• Where: DAC
• Authors: Michel Goraczko, Jie Liu, Dimitrios Lymberopoulos, Slobodan Matic, Bodhi Priyantha, Feng Zhao
• Keywords: DAC 2008, Design Automation, Embedded Sensing Device, Software Partitioning Problem, Tune Resource Utilization