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Title:Software and Hardware Support for Data Intensive Computing
Author(s):Wei, Mingliang
Doctoral Committee Chair(s):Snir, Marc
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:In the architectural aspect, we propose a Near-Memory Processor (NMP), a heterogeneous architecture that couples on one chip a commodity microprocessor together with a coprocessor that is designed to run well applications that have poor locality or that require bit manipulations. The coprocessor has a blocked-multithreaded narrow in-order core, and supports vector, streaming, and bit-manipulation computation. It has no caches but has exposed, explicitly addressed fast storage. A common set of primitives supports the use of this storage both for stream buffers and for vector registers. We simulated this coprocessor using a set of 10 benchmarks and kernels that are representative of the applications we expect it to be used for. These codes run much faster, with speedups of up to 18 over a commodity microprocessor, and with a geometric mean of 5.8.
Issue Date:2007
Type:Text
Language:English
Description:100 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.
URI:http://hdl.handle.net/2142/81769
Other Identifier(s):(MiAaPQ)AAI3270047
Date Available in IDEALS:2015-09-25
Date Deposited:2007


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