Tuning Computer Systems with Structured Bayesian Optimization
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Gemma Gordon.
Abstract: Computer systems are notoriously difficult to tune. In this talk, I will present Structured Bayesian Optimization, a framework which lets users expose the tunable parameters of their programs so they can be automatically optimized. To help the optimization converge in a reasonable time, users can expose the structure available, in the form of a probabilistic model simulating the execution of the system. I will present some of our case studies and discuss possible future applications.
This talk is part of the Computer Laboratory NetOS Group Talklets series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|