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- W2119774083 abstract "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 tasks are addressed in a common theoretical framework. The tool can compute the minimum storage requirement of a given application and can produce the graph of storage variation during the code execution; it offers memory allocation and signal assignment solutions both for flat and hierarchical organizations and optimizes the dynamic energy consumption in the memory subsystem." @default.
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- W2119774083 date "2009-01-19" @default.
- W2119774083 modified "2023-09-23" @default.
- W2119774083 title "System-level exploration tool for energy-aware memory management in the design of multidimensional signal processing systems" @default.
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- W2119774083 doi "https://doi.org/10.5555/1509633.1509741" @default.
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