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This paper presents an energy-driven memory management methodology for the system-level exploration of hierarchical storage organizations. Starting from the behavioral specification of a data-intensive signal processing application, the memory management tasks are addressed in a common algebraic framework, using data-dependence analysis techniques similar to those used in modern compilers. This paper...
This paper presents an energy-aware electronic design automation (EDA) methodology for the system-level exploration of hierarchical storage organizations, focusing mainly on data-intensive signal processing applications. Starting from the high-level behavioral specification of a given application, several memory management tasks are addressed in a common algebraic framework, using data-dependence...
Many signal processing systems, particularly in the multimedia and telecom domains, are synthesized to execute data-dominated applications. In such systems, data transfer and storage have a significant impact on both the system performance and the major cost parameters - power consumption and chip area. This paper presents a software tool for system-level exploration, where several memory management...
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