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Evaluation of storage requirements and applications in the memory management for multidimensional signal processing systems

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3 Author(s)
Luican, I.I. ; Univ. of Illinois at Chicago, Chicago ; Zhu, H. ; Balasa, F.

The amount of the data storage in signal processing systems, whose behavior is described by loop-organized algorithmic specifications, has an important impact on the overall energy consumption, chip area, as well as system performance. This paper presents a non-scalar approach for computing exactly the minimum data storage for high-level procedural specifications, where the main data structures are multi-dimensional arrays. In contrast, all the previous works are only estimation methods. In addition, the paper discusses two applications of this technique in the memory management of signal processing systems: (1) the evaluation of the impact of loop transformations on the data storage, and (2) the assessment of different models of mapping multi-dimensional signals into the physical memory.

Published in:

Electro/Information Technology, 2007 IEEE International Conference on

Date of Conference:

17-20 May 2007