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MICRO
2006
IEEE

A Predictive Performance Model for Superscalar Processors

11 years 7 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed simulation and several constraints that a processor design must satisfy. In this paper, we propose the use of empirical non-linear modeling techniques to assist processor architects in making design decisions and resolving complex trade-offs. We propose a procedure for building accurate non-linear models that consists of the following steps: (i) selection of a small set of representative design points spread across processor design space using latin hypercube sampling, (ii) obtaining performance measures at the selected design points using detailed simulation, (iii) building non-linear models for performance using the function approximation capabilities of radial basis function networks, and (iv) validating the models using an independently and randomly generated set of design points. We evaluate our model buil...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where MICRO
Authors P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthaveetil
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