The goal of the Condor^® Project is to develop, implement, deploy, and evaluate mechanisms and policies that support High Throughput Computing (HTC) on large collections of distributively owned computing resources. Guided by both the technological and sociological challenges of such a computing environment, the Condor Team has been building software tools that enable scientists and engineers to increase their computing throughput.

If you find Condor as interesting as we do, consider joining our team of talented and enthusiastic developers.

Condor Week Meetings
Condor Week 2008 was a great success, thank you to all who attended. We look forward to Condor Week 2009.
Information on past Condor Week meetings

Current Releases

Recent News

(October 22, 2007) "Clemson University upgrades to supercomputer"

GreenvilleOnline.com reports, "Condor and the new Palmetto Cluster enable Clemson faculty to do faster and deeper research. The technology opens doors to a realm where no Clemson researcher could go before -- and research grants dollars not accessible without the new supercomputing power."

(April 1, 2008) Condor 7.1.0 released!

The Condor Team is pleased to announce the release of Condor 7.1.0 (not to be confused with our recent stable series release 7.0.1). This development series release introduces several new features. The condor_startd can be configured to fetch jobs from other sources using a simple plug-in mechanism. A new daemon condor_job_router has been added for dynamically transforming suitable Vanilla Universe jobs into Grid Universe jobs. DAGMan's handling of rescue DAGs has been improved to better support nested DAGs. DAGIrl has been added to better support Irl workflows in the beginning of April. See the Version History for a complete list of changes. Condor 7.1.0 binaries and source code are available from our Downloads page.

(March 29, 2008) Nature publishes virus views enabled using Purdue's Condor flock

As published in the Feb 28th issue of Nature, a team led by a Purdue University researcher has achieved images of a virus in detail two times greater than had previously been achieved. This breakthrough was enabled through the use of Purdue's Condor distributed computing grid, which comprises more than 7,000 computers.

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