| dan@hep.wisc.edu | |
| UW HEP | 608-263-0545 Chamberlin 3241 |
| UW CS | 608-890-0032 |
In November 2002, I became a system programmer for the High Energy Physics Department at University of Wisconsin, thanks to funding from the National Science Foundation.
I work on software related to CMS, an international physics experiment that will begin taking data sometime in 2008. Among other things, this experiment hopes to detect the Higgs particle, which is a predicted but so far undetected component of the current Standard Model in particle physics.
In order to prepare for analyzing real experimental data, physicists need to run monte carlo simulations of the detector. The cheapest way to run millions of these intensive simulations is not to buy supercomputers but instead to use a computing grid composed of thousands of commodity machines.
Here at UW, we are focusing on the use of shared resources, machines that are not solely owned or dedicated to one task. By using Condor, different groups of researches use the resources opportunistically, resulting in a high rate of resource utilization (fewer wasted cycles). We have constructed a campus computing grid based on these principles. It is called GLOW, The Grid Laboratories of Wisconsin. GLOW is connected to OSG, the Open Science Grid, and we are active in DiSUN, the Data Intensive Science University Network.