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2 k Factorial Designs Hongwei Zhang http://www.cs.wayne.edu/~hzhang Acknowledgement: this lecture is partially based on the slides of Dr. Raj Jain. Performance Evaluation: Twenty percent of the jobs account for 80% of the resource consumption. --- Pareto’s Law

2k Factorial Designs - Wayne State University

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Page 1: 2k Factorial Designs - Wayne State University

2k Factorial Designs

Hongwei Zhang

http://www.cs.wayne.edu/~hzhang

Acknowledgement: this lecture is partially based on the slides of Dr. Raj Jain.

Performance Evaluation:

Twenty percent of the jobs account for 80% of the resource consumption.

--- Pareto’s Law

Page 2: 2k Factorial Designs - Wayne State University

2k Factorial Designs

� k factors, each at two levels.

� Easy to analyze

� Helps in sorting out impact of factors, and good at the

beginning of a study

� Valid only if the effect is unidirectional

� E.g., memory size, the number of disk drives

Specific examples of non-unidirectional effect?

Page 3: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 4: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 5: 2k Factorial Designs - Wayne State University

22 Factorial Designs

Page 6: 2k Factorial Designs - Wayne State University

Model

Interpretation:

� Mean performance = 40 MIPS

� Mean effect of memory = 20 MIPS

Mean Effect of cache = 10 MIPS

� Interaction between memory and

cache = 5 MIPS

Page 7: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 8: 2k Factorial Designs - Wayne State University

Computation of effects

Page 9: 2k Factorial Designs - Wayne State University

Computation of effects (contd.)

Page 10: 2k Factorial Designs - Wayne State University

Computation of effects (contd.)

Page 11: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 12: 2k Factorial Designs - Wayne State University

Sign table method

Column AB = Column A * Column B

q0 = (Column I × Column y)/4

qA = (Column A × Column y)/4

qB = (Column B × Column y)/4

qAB = (Column AB × Column y)/4

1 -> +

-1 -> -

Page 13: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 14: 2k Factorial Designs - Wayne State University

Allocation of variation

Page 15: 2k Factorial Designs - Wayne State University

Derivation

Page 16: 2k Factorial Designs - Wayne State University

Derivation (contd.)

Page 17: 2k Factorial Designs - Wayne State University

Derivation (contd.)

Page 18: 2k Factorial Designs - Wayne State University

Derivation (contd.)

Page 19: 2k Factorial Designs - Wayne State University

Example

Page 20: 2k Factorial Designs - Wayne State University

Case study: interconnection networks

Page 21: 2k Factorial Designs - Wayne State University

22 design for interconnection networks

Page 22: 2k Factorial Designs - Wayne State University

Results

Page 23: 2k Factorial Designs - Wayne State University

Outline

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 24: 2k Factorial Designs - Wayne State University

General 2k Factorial Designs

Page 25: 2k Factorial Designs - Wayne State University

Example

Page 26: 2k Factorial Designs - Wayne State University

Example (contd.)

Page 27: 2k Factorial Designs - Wayne State University

Example (contd.)

Page 28: 2k Factorial Designs - Wayne State University

Summary

� 22 Factorial Designs

� Computation of Effects

� Sign Table Method

� Allocation of Variation

� General 2k Factorial Designs

Page 29: 2k Factorial Designs - Wayne State University

Homework #2

(100 points)

Page 30: 2k Factorial Designs - Wayne State University

Further reading

� Chapter 18: 2kr Factorial Design with replications

� It is not possible to estimate experimental errors in 2k

Factorial Design, since no experiment is repeated

� 2kr Factorial Design also enables us to compute the

confidence interval of effects

� Chapter 19: 2k-p Fractional Factorial Designs