Empirical Algorithmics in BETA

One of the BETA research areas is Empirical Algorithmics. Of course many computer scientists rely on empirical methods for testing and validating their work. Faculty at UBC who work explicitly on empirical algorithmics include:

• Holger Hoos
• Alan Hu
• Kevin Leyton-Brown
• Alan Mackworth

This page contains resources for students working on Empirical Algorithmics in the BETA lab with these faculty.

Useful Group Resources

Perl Scripts:

• Rerunable Mass Experiments

Torque GUI (for monitoring torque)

• TORQUEViewer

The Arrow cluster is available for students working on empirical algorithmics. To learn more:

• Using Sun Grid Engine
• Administering Sun Grid Engine
• Check the cluster status

The Westgrid cluster:

• Using WestGrid
• official site

Help with commonly-used software:

• CPLEX Optimization Software
• Matlab, especially how to use it on the cluster
• LaTeX tips and tricks
• CVS, and using the TortoiseCVS client for Windows
• MySQL, and useful SQL lines
• Java + MySQL, connecting to a MySQL database using Java
• Timerun, time jobs on the cluster, or on Windows
• R, cheat sheet for R beginner
• Git, how to setup/use a git repository for lab use

High-performance Algorithm Library (HAL):

• HALTaskList feature request/bug management wiki
• SMACTaskList SMAC development wiki

Algorithm Configuration on the Cloud:

• EC2 introduction and setup
• Benchmarking for AC on the Cloud

Empirical Algorithmics Reading Group (EARG)

At the moment, the EARG web page lives at http://www.cs.ubc.ca/~hutter/EARG.shtml.

Group Practices

• Intellectual Property
• Publication
• Consulting