self portrait

Todd Mytkowicz

PhD Candidate in Computer Science
B.S. Computer Science, Syracuse University '01

email:mytkowit @ colorado.edu
office:  ECCR B121
CV:  resume.pdf
Dynamical Systems & Performance Analysis

Computer Dynamics Lab

Research

Neural Net

Supporting Empirical Inquiry in Computer Systems Research
Collaborators

Systems research is an experimental science---most research in computer systems follows the trend of innovate (e.g. build a new whiz bang garbage collector) and then evaluate (e.g. does it significantly speed up our programs). Paramount to progress in our domain are tools that allow a researcher to measure high fidelity information about their system without significantly perturbing its behavior and methodologies that allow researchers to accurately evaluate the impact of their whiz bang idea. My dissertation work is focused on building these methods and tools.

Check out my advisor giving a talk on our work at Google!
Neural Net

Chaos in Computer Systems
Collaborators

Computation on modern hardware is a complex system. This work uses traditional nonlinear time series analysis techniques to understand the dynamics of real hardware. Our efforts have shown the first experimental evidence of chaos in computer systems and as such provides a deeper understanding of the inner workings of modern hardware. We hope these techniques will allow us to collect high-fidelity data from a running system without perturbing the system's true behavior.

Check out my co-advisor giving a talk on our work at U. Washington!
Neural Net

Dynamics of Social Collaborative Systems
Collaborators

This work was done while I was a summer intern at Xerox' PARC. We used information theory as a means to analyze the dynamics of social tagging systems. Our results show that over time, a social tagging site like del.icio.us is becoming harder and harder to navigate. The tagging environment is becoming saturated.

We generated a bit of press:

Publications

Conference Publications

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Extended Abstracts

Workshop Publications

Conference Abstracts, Presentations and Posters

Downloads