2026-09-19T07:06:59Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/44189 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Kumar, Rakesh Duwe, Henry 2013-05-24T21:53:46Z 2013-05-24T21:53:46Z 2013-05 2013-05-24T21:53:46Z 2013-05 Many programs exhibit application level error resilience which allows certain subcomputations to execute in an imprecise, yet energy efficient manner, potentially yielding significant overall energy savings without sacrificing end- to-end quality. In this thesis we identify one fundamental problem that must be addressed to realize these energy benefits: even in applications with a large degree of error resilience, error resilient instructions are interleaved with instructions that must be executed precisely at a fine-grained level (about every seven instructions). This interleaving prohibits any energy savings due to the significant costs associated with switching between the modes, typically via voltage scaling, which may require hundreds to thousands of cycles to transition between levels. We propose a novel execution model for single-core architectures that reduces total switching by deferring execution of instructions requiring mode switches, thereby aggregating instructions of the same energy mode and reducing the number of mode switches. Deferred execution introduces overheads of its own due to data transfer across the two modes, and we present hardware and software optimizations to mitigate these overheads, yielding up to 9%-29% energy savings across a suite of benchmarks. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-03-08T20:17:17Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Duwe_Henry.pdf: 423616 bytes, checksum: 75108d7d240a84572bd1b69a5bd0575e (MD5) Made available in DSpace on 2013-05-24T21:53:46Z (GMT). No. of bitstreams: 2 Henry_Duwe.pdf: 423616 bytes, checksum: 75108d7d240a84572bd1b69a5bd0575e (MD5) license.txt: 4060 bytes, checksum: 5939895fb80dd405f1fc7e087f0e9ace (MD5) http://hdl.handle.net/2142/44189 en Copyright 2013 Henry Duwe approximate computing low energy computing Exploiting application level error resilience via deferred execution text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS