Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Chaos in computer performance.

Hugues Berry1, Daniel Gracia Pérez, Olivier Temam

  • 1INRIA Futurs, ALCHEMY, Parc Club Orsay Université ZAC des vignes 4, rue Jacques Monod--Bat G 91893 Orsay Cedex--France. hugues.berry@inria.fr

Chaos (Woodbury, N.Y.)
|April 8, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A brief overview of 20 years of neuroscience in PLoS Computational Biology.

PLoS computational biology·2026
Same author

Transient pores account for cell-penetrating peptide and homeoprotein translocation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Vascular segmentation of functional ultrasound images using deep learning.

Computers in biology and medicine·2025
Same author

Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.

Biophysical journal·2025
Same author

A coupled neural field model for the standard consolidation theory.

Journal of theoretical biology·2024
Same author

Quantifying membrane binding and diffusion with fluorescence correlation spectroscopy diffusion laws.

Biophysical journal·2023
Same journal

Multiscale dynamics of special memristive ion channels in a neural circuit.

Chaos (Woodbury, N.Y.)·2026
Same journal

Symmetry-protected delay spectroscopy in oscillator networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Mesoscale community organization governs epidemic onset and spread in metapopulations.

Chaos (Woodbury, N.Y.)·2026
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Modern computer microprocessor performance exhibits complex dynamics. Analysis reveals low-dimensional deterministic chaos, suggesting microprocessors are complex systems benefiting from nonlinear science tools.

Area of Science:

  • Computer Engineering
  • Complexity Science
  • Nonlinear Dynamics

Background:

  • Modern microprocessors contain millions of transistors with complex interaction protocols.
  • Processor performance during program execution can be highly variable and exhibit aperiodic oscillations.

Purpose of the Study:

  • To analyze the performance dynamics of modern microprocessors using nonlinear time series analysis.
  • To investigate whether microprocessor performance exhibits characteristics of deterministic chaos.

Main Methods:

  • Application of current nonlinear time series analysis techniques.
  • Analysis of microprocessor performance during the execution of prototypical programs.

Main Results:

  • Evidence strongly supports that performance variability displays low-dimensional deterministic chaos.

Related Experiment Videos

  • Sensitivity to initial conditions comparable to established chaos models was observed.

    • Conclusions:

    • Instantaneous microprocessor performances represent a complex system.
    • Analysis using nonlinear and complexity science tools can provide valuable insights.