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Integrated Software Tools for the Memory Management of Low-Energy Embedded Signal Processing System

F. Balasa, Dhiraj Pradhan, Integrated Software Tools for the Memory Management of Low-Energy Embedded Signal Processing System. 5th International Congress on Image and Signal Processing (CISP 2012) . November 2012. PDF, 323 Kbytes.

Abstract

This paper presents an energy-aware CAD methodology for the system-level exploration of hierarchical storage organizations, focusing mainly on data-intensive signal processing applications. Starting from the high-level behavioral specii??cation of a given application, several memory management tasks are addressed in a common algebraic framework, using datadependence analysis techniques similar to those used in modern compilers. This software system can compute the minimum data storage required by a given application and can produce the graph of storage variation during the code execution; it can perform an energy-efi??cient assignment of the multidimensional signals from the specii??cation to the memory layers, followed by a storage-efi??cient mapping of signals to the physical memory. The last phase of the methodology is a novel approach for powerefi??cient banking of the on-chip memory

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