Superscalar Processor Models Using Statistical Learning

Superscalar Processor Models Using Statistical Learning

Processor architectures are becoming increasingly complex and hence architects have to evaluate a large design space consisting of several parameters, each with a number of potential settings. In order to assist in guiding design decisions we develop simple and accurate models of the superscalar pro...

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Bibliographic Details
Main Author: Joseph, P J
Other Authors: Jacob, T Matthew
Language:en_US
Published: 2009
Subjects:
Supercomputers
Supercomputers - Statistical Methods
MATLAB
Linear Regression Models
Superscalar Processor Architecture
Superscalar Processors - Linear Models
Radial Basis Function Networks
Linear Models
RBF Networks
Processor Performance Analysis
Predictive Performance Model
Predictive Modeling
Computer Science
Online Access:http://hdl.handle.net/2005/537

Internet

http://hdl.handle.net/2005/537

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