Fast cost efficient designs by building upon the plackett and burman method

Authors:
Manish Arora;Feng Wang;Bob Rychlik;Dean Tullsen
Affiliations:
UC San Diego, La Jolla, CA, USA;Qualcomm Inc., San Diego, CA, USA;Qualcomm Inc., San Diego, CA, USA;UC San Diego, La Jolla, CA, USA
Venue:
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Year:
2012

Citing 2
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A Statistically Rigorous Approach for Improving Simulation Methodology

HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
Design and Analysis of Experiments

Design and Analysis of Experiments

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Abstract

CPU processor design involves a large set of increasingly complex design decisions, and simulating all possible designs is typically not feasible. Sensitivity analysis, a commonly used technique, can be dependent on the starting point of the design and does not necessarily account for the cost of each parameter. This work proposes a method to simultaneously analyzes multiple parameters with a small number of experiments by leveraging the Plackett and Burman (P&B) analysis method. It builds upon the technique in two specific ways. It allows a parameter to take multiple values and replaces the unit-less impact factor with cost-proportional values.