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Title:Principles of Instruction-Level Distributed Processing
Author(s):Salverda, Pierre M.
Doctoral Committee Chair(s):Zilles, Craig
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:The clustered machines, by contrast, are shown to be inherently capable of matching monolithic machine performance, the penalties imposed by distributed execution notwithstanding. Key to exploiting that potential is knowledge of the critical path through a program. This can be used to achieve a judicious allocation of execution resources to instructions, with performance-critical instructions being shielded from the distributed machine's execution constraints; only the least important instructions, which can tolerate some delay, need be exposed to those constraints. This dissertation develops several novel critical path-aware schemes, and shows that they can deliver performance that is within a few percent of a monolithic machine. It further shows that many aspects of those schemes are stable, both within and across runs of a program, a property which lends them to implementation in a static (offline) context.
Issue Date:2008
Type:Text
Language:English
Description:232 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/81815
Other Identifier(s):(MiAaPQ)AAI3314880
Date Available in IDEALS:2015-09-25
Date Deposited:2008


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