Presentation | 2005-05-12 Improvement of Signature-based Phase Detection and its Application to Power Reduction in Caches YUYA UENO, LUONG D. HUNG, MASANORI TAKADA, DAISUKE TASHIRO, SHUICHI SAKAI, |
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Abstract(in English) | Effective power reduction is achieved through dynamic optimization of processor resources based on phase characteristics of programs. This work focuses on signature-based phase detection technique. Since existing work creates signatures from instruction blocks of fixed size, it may cause over-optimistic phase detections for applications whose the blocks that characterize phases are larger than the signature block. This work proposes the use of AND-signature and OR-signature, and realizes more efficient phase detection. We applied the method to dynamic reconfiguration of cache memory, and confirmed its effectiveness to power reduction. |
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Paper # | RECONF2005-5 |
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Committee | RECONF |
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Conference Date | 2005/5/5(1days) |
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Registration To | Reconfigurable Systems (RECONF) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | Improvement of Signature-based Phase Detection and its Application to Power Reduction in Caches |
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1st Author's Name | YUYA UENO |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | LUONG D. HUNG |
2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
3rd Author's Name | MASANORI TAKADA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:(Present address)Hitachi, Ltd., Systems Development Laboratory |
4th Author's Name | DAISUKE TASHIRO |
4th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:(Present address)Hitachi, Ltd., Central Research Laboratory |
5th Author's Name | SHUICHI SAKAI |
5th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
Date | 2005-05-12 |
Paper # | RECONF2005-5 |
Volume (vol) | vol.105 |
Number (no) | 42 |
Page | pp.pp.- |
#Pages | 6 |
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