This distributed computing system, comprising some 12,000 cores, is used by SU faculty and researchers, particularly in the physical sciences and engineering, who need reliable, high throughput computing (HTC). The computers in the grid are optimized to perform a large number of smaller parallel jobs (typically less than 24 hours), providing high processing capacity over long periods of time.

Orange GridOrangeGrid is supported by ITS, Syracuse’s central IT group, and offered to researchers without cost. The grid is unique in that approximately 20% of the nodes on the network are upgraded annually as part of regular campus desktop replacement cycles, providing a notable increase in processing and memory capacity each year.

OrangeGrid utilizes:

  • Virtualization via Oracle’s VirtualBox
  • Scheduling via the HTCondor HTC System
  • Desktop components management via ITS’ HTCondor Virtual Machine Coordinator (CVMC)

HTCondor Virtual Machine Coordinator (CVMC) is a small application developed by SU’s Information Technology and Services (ITS) team to manage the multiple desktop components.

These components are distributed to desktop clients via Microsoft’s Active Directory. HTCondor, developed with support from the National Science Foundation, manages the grid’s workload. The computer’s task scheduler detects when its host computer is idle, starts up CVMC, and connects to HTCondor to receive work. When user activity is detected on the computer, research operations are immediately stopped. The use of virtualization acts as a barrier which separates the researcher and their content from the user’s information on the same computer.


Open Science Grid

In 2015, Syracuse partnered with the Open Science Grid (OSG) to contribute OrangeGrid compute resources to researchers within the OSG framework. Additionally, cycles not consumed by SU or OSG researchers are put to use in the LIGO Einstein@Home distributed computing project.Syracuse University's Information Technology and Services (ITS)

Header Image Credit:
Barrett Lyon / The Opte Project
Visualization of the routing paths of the Internet.

A Monte Carlo Algorithm for Computing pi;

To illustrate running a job under Condor, you will use a Monte Carlo method for computing π This is an example of an embarrassingly parallel problem that can easily be run on the Campus Condor Pool. [latexpage]To illustrate running a job under Condor, you will use a...

When Things Go Wrong

To see what happens when a job fails, let us deliberately break the script First edit the Condor submit file hello.sub and change the number of jobs submitted in a cluster back to one: queue 1 Next, edit the file and change the line...

Submitting Multiple Jobs

So far, we have only submitted a single job. The power of Condor is in making it simple to submit many jobs in one go. Edit the le hello.sub and change the last line of the fi le to queue 20 and re-submit the job with condor_submit hello.sub     Now Condor...