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Network Flow Approach to Data Regeneration for Low Energy Embedded System Synthesis by Catherine H. Gebotys is a Computer Science article available to read on EtoBox.

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Optimizing energy during the synthesis of VLSI embedded systems for real-time-constrained applications is an important new problem. Memory has been shown to be a crucial component of the total system energy dissipation. This paper presents for the rst time a network ow approach to minimizing the energy dissipation of memory components during systems synthesis. In particular, this new approach determines the optimal number of external and internal memory accesses and the number of extra computations or data regeneration for each task such that the total estimated energy dissipation of a task is minimized. This is unlike previous research which has only discussed ad-hoc suggestions for this problem. The network ow approach can be solved by a globally optimal solution in polynomial time using very fast and e cient algorithms. A large complex real industrial application, audio compression, donated by Motorola, is used to study the energy savings using di erent single and multichip system implementations along with voltage scaling. Results of synthesizing this complex application show that for some tasks, estimated energy savings range from 2 to 10 times. This contributes to 2.7 times i

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Author

Catherine H. Gebotys

Publisher

IOS Press (ISSN 1069-2509)

Published

1998

Language

EN

Field

Computer Science (Physical Sciences)