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| Content Provider | Springer Nature Link |
|---|---|
| Author | Balasa, Florin Luican, Ilie I. Zhu, Hongwei Nasui, Doru V. |
| Copyright Year | 2009 |
| Abstract | Many signal processing systems, particularly in the multimedia and telecom domains, are synthesized to execute data-dominated applications. Their behavior is described in a high-level programming language, where the code is typically organized in sequences of loop nests and the main data structures are multidimensional arrays. Since data transfer and storage have a significant impact on both the system performance and the major cost parameters—power consumption and chip area, the designer must spend a significant effort during the system development process on the exploration of the memory subsystem in order to achieve a cost-optimized design. This paper presents a memory allocation methodology for multidimensional signal processing applications, focusing on the problem of efficiently mapping the multidimensional signals from the algorithmic specification into the physical memory. In a first phase, two previous mapping models are implemented within a common theoretical framework, which is advantageous from both the point of view of computational efficiency and the amount of allocated data storage. Different from all the previous mapping models that aim to optimize the memory sharing between the elements of a same array (creating separate windows in the physical memory for distinct arrays), this proposed mapping model exploit—in a second phase—the possibility of memory sharing between the elements of different arrays. As a consequence, this signal assignment approach yields significant savings in the amount of data storage resulted after mapping. |
| Starting Page | 51 |
| Ending Page | 65 |
| Page Count | 15 |
| File Format | |
| ISSN | 19398018 |
| Journal | Journal of Signal Processing Systems |
| Volume Number | 63 |
| Issue Number | 1 |
| e-ISSN | 19398115 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2009-06-20 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Memory management Memory allocation Signal-to-memory assignment Multidimensional signal processing Storage requirement Pattern Recognition Circuits and Systems Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Image Processing and Computer Vision Electrical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture |
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