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Modeling program predictability

Yiannakis Sazeides, James E. Smith

Open publisher page 59 citations

Abstract

Basic properties of program predictability -- for both values and control -- are defined and studied. We take the view that program predictability originates at certain points during a program's execution, flows through subsequent instructions, and then ends at other points in the program. These key components of predictability: generation, propagation, and termination; are defined in terms of a model. The model is based on a graph derived from dynamic data dependences and a predictor.

About this research paper

What this paper is about

Basic properties of program predictability -- for both values and control -- are defined and studied. We take the view that program predictability originates at certain points during a program's execution, flows through subsequent instructions, and then ends at other points in the program. These key components of predictability: generation, propagation, and termination; are defined in terms of a model. The model is based on a graph derived from dynamic data dependences and a predictor.

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OpenAlex reports 59 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Basic properties of program predictability -- for both values and control -- are defined and studied. We take the view that program predictability originates at certain points during a program's execution, flows through subsequent instructions, and then ends at other points in the program. These key components of predictability: generation, propagation, and termination; are defined in terms of a model. The model is based on a graph derived from dynamic data dependences and a predictor.

Key concepts: Predictability, Computer science, Program structure, Graph, Key (lock), Algorithm, Theoretical computer science, Mathematics

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