Memory Size Computation for Real-Time Multimedia Applications Based on Polyhedral Decomposition(System Level Design,<Special Section>VLSI Design and CAD Algorithms)
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概要
- 論文の詳細を見る
In real-time multimedia processing systems a very large part of the power consumption is due to the data storage and data transfer. Moreover, the area cost is often largely dominated by the memory modules. In deriving an optimized (for area and/or power) memory architecture, memory size computation is an important step in the exploration of the possible algorithmic specifications of multimedia applications. This paper presents a novel non-scalar approach for computing exactly the memory size in real-time multimedia algorithms. This methodology uses both algebraic techniques specific to the data-flow analysis used in modern compilers and, also, more recent advances in the theory of polyhedra. In contrast with all the previous works which are only estimation methods, this approach performs exact memory computations even for applications significantly large in terms of the code size, number of scalars, and number of array references.
- 社団法人電子情報通信学会の論文
- 2006-12-01
著者
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ZHU Hongwei
Physical IP Division, ARM Inc.
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Luican Ilie
Dept. Of Computer Science University Of Illinois At Chicago
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Zhu Hongwei
Physical Ip Division Arm Inc.
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Balasa Florin
Dept. Of Computer Science And Information Systems Southern Utah University
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ZHU Hongwei
Dept. of Computer Science, Univ. of Illinois at Chicago
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)