Michel Goraczko, Jie Liu, Dimitrios Lymberopoulos, Slobodan Matic, Bodhi Priyantha, and Feng Zhao
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.
In The 45th Design Automation Conference (DAC 2008)
Publisher Association for Computing Machinery, Inc.
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