Power Estimation of Partitioned Register Files in a Clustered Architecture with Performance Evaluation
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概要
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High power consumption and slow access of enlarged and multiported register files make it difficult to design high performance superscalar processors. The clustered architecture, where the conventional monolithic register file is partitioned into several smaller register files, is expect to overcome the register file issues. In the clustered architecture, the more a monolithic register file is partitioned, the lower power and faster access register files can be realized. However, the partitioning causes losses of IPC (instructions per clock cycle) due to communication among register files. Therefore, degree of partitioning has a strong impact on the trade-off between power consumption and performance. In addition, the organization of partitioned register files also affects the trade-off. In this paper, we attempt to investigate appropriate degrees of partitioning and organizations of partitioned register files in a clustered architecture to assess the trade-off. From the results of execute-driven simulation, we find that the organization of register files and the degree of partitioning have a strong impact on the IPC, and the configuration with non-consistent register files can make use of the partitioned resources more effectively. From the results of register file access time and energy modeling, we find that the configurations with the highly partitioned non-consistent register file organization can receive benefit of the partitioning in terms of operating frequency and access energy of register files. Further, we examine relationship between IPS (instructions per second) and the product of IPC and operating frequency of register files. The results suggest that highly partitioned non-consistent configurations tends to gain more advantage in performance and power.
- 社団法人電子情報通信学会の論文
- 2007-03-01
著者
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SUZUKI Ken-ichi
Tohoku Institute of Technology
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SATO Yukinori
Center for Information Science, JAIST
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Suzuki Kenichi
Suntory Flowers Ltd.
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Suzuki Ken-ichi
Graduate School of Biological Sciences, Nara Institute of Science and Technology
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Sato Yukinori
Jaist Nomi‐shi Jpn
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Nakamura Tadao
Graduate School Of Information Sciences Tohoku University
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SATO Yukinori
Graduate School of Information Sciences, Tohoku University
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Sakamoto Koichi
Production Department Suntory Flowers Ltd.
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Nakamura Tadao
Graduate School Of Information Science Tohoku University
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