Software and Hardware Support for Data Intensive Computing
Wei, Mingliang
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https://hdl.handle.net/2142/81769
Description
Title
Software and Hardware Support for Data Intensive Computing
Author(s)
Wei, Mingliang
Issue Date
2007
Doctoral Committee Chair(s)
Snir, Marc
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
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.
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