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oai:www.ideals.illinois.edu:2142/81606 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Torrellas, Josep Huang, Michael Cliff 2015-09-25T20:19:28Z 2015-09-25T20:19:28Z 10000-01-01 2002 2002 The second part of the thesis discusses how to further improve the algorithm for energy efficiency. We observe that applications change their demands on the hardware as they execute. This suggests that certain hardware adaptations can be made to save energy at little performance cost. In the context of a general purpose system with multiple LPTs, we address the twin problems of when to adapt, and what LPT to use to adapt. We demonstrate that rather than adapting the processor at time intervals, it is better to do it at the grain of subroutines: the reaction of a subroutine to system adaptation is usually highly predictable, and the best adaptation for a subroutine can be easily remembered and reused later. Using this insight, we design architectural support for an adaptive processor to decide what specific LPTs to activate and when to activate them. Targeting different environments, we propose a framework of different schemes to exploit an adaptive processor, where these decisions are made off- or on-line. Overall, the schemes perform better than an approach based on fixed-time intervals similar to the original DEETM: in a system with three LPTs, energy savings increase by 40--63% with less performance degradation. Made available in DSpace on 2015-09-25T20:19:28Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3070329.pdf: 4951539 bytes, checksum: 7ac531903359f8c640ab3e9dc6e84c60 (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 82887 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 99 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/81606 (MiAaPQ)AAI3070329 eng Computer Science Managing Processor Adaptation for Energy Reduction and Temperature Control text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.