Energy-Aware Memory Allocation Framework for Embedded Data-Intensive Signal Processing Applications

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概要

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• Many signal processing systems, particularly in the multimedia and telecommunication domains, are synthesized to execute data-intensive applications: their cost related aspects — namely power consumption and chip area — are heavily influenced, if not dominated, by the data access and storage aspects. This paper presents an energy-aware memory allocation methodology. Starting from the high-level behavioral specification of a given application, this framework performs the assignment of the multidimensional signals to the memory layers — the on-chip scratch-pad memory and the off-chip main memory — the goal being the reduction of the dynamic energy consumption in the memory subsystem. Based on the assignment results, the framework subsequently performs the mapping of signals into both memory layers such that the overall amount of data storage be reduced. This software system yields a complete allocation solution: the exact storage amount on each memory layer, the mapping functions that determine the exact locations for any array element (scalar signal) in the specification, and an estimation of the dynamic energy consumption in the memory subsystem.

• （社）電子情報通信学会の論文
• 2009-12-01

著者

• ZHU Hongwei

  Physical IP Division, ARM Inc.

• Luican Ilie

  Dept. Of Computer Science University Of Illinois At Chicago

• Zhu Hongwei

  Physical Ip Division Arm Inc.

• Balasa Florin

  Dept. Of Computer Science And Information Systems Southern Utah University

• NASUI Doru

  American International Radio, Inc.

関連論文

• Formal Model for the Reduction of the Dynamic Energy Consumption in Multi-Layer Memory Subsystems
• Energy-Aware Memory Allocation Framework for Embedded Data-Intensive Signal Processing Applications
• Memory Size Computation for Real-Time Multimedia Applications Based on Polyhedral Decomposition(System Level Design,VLSI Design and CAD Algorithms)

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