Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2005-06-13
Nonlinear Sciences
Adaptation and Self-Organizing Systems
Scientific paper
10.1063/1.2159147
Modern computer microprocessors are composed of hundreds of millions of transistors that interact through intricate protocols. Their performance during program execution may be highly variable and present aperiodic oscillations. In this paper, we apply current nonlinear time series analysis techniques to the performances of modern microprocessors during the execution of prototypical programs. Our results present pieces of evidence strongly supporting that the high variability of the performance dynamics during the execution of several programs display low-dimensional deterministic chaos, with sensitivity to initial conditions comparable to textbook models. Taken together, these results show that the instantaneous performances of modern microprocessors constitute a complex (or at least complicated) system and would benefit from analysis with modern tools of nonlinear and complexity science.
Berry Hugues
Pérez Daniel Gracia
Temam Olivier
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