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2003
IEEE

A Statistically Rigorous Approach for Improving Simulation Methodology

9 years 4 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the performance of new compiler-based and microarchitectural performance-enhancement mechanisms. However, despite this continued dependence on simulators, statistically rigorous simulation methodologies are not typically used for computer architecture research. Without a formal methodology, however, it is possible to underemphasize the effect of parameter interactions when choosing processor parameter values for simulations or when performing sensitivity analyses. A formal methodology can provide a sound basis for drawing conclusions gathered from simulation results by adding statistical rigor and, consequently, can increase confidence in the simulation results. This paper demonstrates the application of a rigorous statistical technique to the setup and analysis phases of the simulation process. Specifically, we ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
Added 01 Dec 2009
Updated 01 Dec 2009
Type Conference
Year 2003
Where HPCA
Authors Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
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