A Fast Performance Estimation Framework for System-Level Design Space Exploration
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概要
- 論文の詳細を見る
This paper presents a fast performance estimation framework and an performance estimation method for design space exploration at system level. As the complexity of embedded systems grows, design space exploration at a system level plays a more important role than before. In the system-level design, system designers start from describing functionalities of the system as processes and channels, and then decide mapping of them to various Processing Elements (PEs) including processors and dedicated hardware modules. A mapping decision is evaluated by simulation or FPGA-based prototyping. Designers iterate mapping and evaluation until all design requirements are met. In order to shorten the evaluation time, we have developed a fast design space exploration framework which combines our system-level design tool, named SystemBuilder, and a newly developed fast performance estimation tool, named SystemPerfEst. SystemPerfEst is based on trace-based simulation method. The trace is obtained as the result of SystemBuilder, and the trace is fed to SystemPerfEst smoothly. Since the estimation of a design candidate finishes in about one second, design space exploration of a number of design candidates can be performed with SystemPerfEst in a practical time. A case study on design space exploration of a JPEG decoder system demonstrates the effectiveness of our framework.
- 一般社団法人情報処理学会の論文
- 2012-02-21
著者
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Shinya Honda
Graduate School of Information Science, Nagoya University
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Honda Shinya
Graduate School Of Information Science Nagoya University
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Shinya Honda
Graduate School Of Information Science Nagoya University
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Hiroaki Takada
Graduate School Of Information Science Nagoya University
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Hiroyuki Tomiyama
College of Science and Engineering, Ritsumeikan University
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Seiya Shibata
Graduate School of Information Science, Nagoya University|Japan Society for the Promotion of Science
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Seiya Shibata
Graduate School of Information Science Nagoya University
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Yuki Ando
Graduate School of Information Science, Nagoya University
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