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Title:An Intelligent Memory for Data -Parallel Applications
Author(s):Kang, Yi
Doctoral Committee Chair(s):Torrellas, Josep
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
Abstract:Many research issues related to FlexRAM are discussed. We describe the FlexRAM architecture include memory architecture, processor architecture and communication models. The rationales for our architecture design are based on general principles and constraints from the technology and existing computer systems. We address design issues arising from the FlexRAM logical and physical design. We show that it is feasible to implement a FlexRAM chip under current MLD technology by setting up HDL models for a FlexRAM chip and estimating its physical parameters. Evaluations based on high-level simulation are made. Decent speedup numbers are shown that FlexRAM architecture is effective for many data-parallel applications. How to program FlexRAM is also explored and a new programming model for IRAM---Intelligent Memory Operation is suggested. We identify and analyze a range of real applications for FlexRAM, including applications in the domain of data mining, computational biology, decision support and multimedia.
Issue Date:1999
Type:Text
Language:English
Description:142 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.
URI:http://hdl.handle.net/2142/81959
Other Identifier(s):(MiAaPQ)AAI9953057
Date Available in IDEALS:2015-09-25
Date Deposited:1999


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