Editing HTCondor (section)

==Features==
HTCondor can run both sequential and parallel jobs. Sequential jobs can be run in several different "universes", including "vanilla" which provides the ability to run most "batch ready" programs, and "standard universe" in which the target application is re-linked with the HTCondor I/O library which provides for remote job I/O and job checkpointing. HTCondor also provides a "local universe" which allows jobs to run on the "submit host".

In the world of parallel jobs, HTCondor supports the standard [[Message Passing Interface]] and [[Parallel Virtual Machine]] (Goux, et al. 2000) in addition to its own Master Worker "MW" library for extremely parallel tasks.

''HTCondor-G'' allows HTCondor jobs to use resources not under its direct control.
It is mostly used to talk to [[grid computing|grid]] and [[cloud computing|cloud]] resources, like pre-WS and WS Globus, [[Advanced Resource Connector|Nordugrid ARC]], [[UNICORE]] and [[Amazon Elastic Compute Cloud]].
But it can also be used to talk to other batch systems, like [[Portable Batch System|Torque/PBS]] and [[Load Sharing Facility|LSF]]. Support for [[Sun Grid Engine]] is currently under development as part of the [[European Grid Infrastructure|EGEE]] project.{{fact|date=September 2019}}

HTCondor supports the [[DRMAA]] job API. This allows DRMAA compliant clients to submit and monitor HTCondor jobs. The [[SAGA C++ Reference Implementation]] provides an HTCondor plug-in (adaptor), which makes HTCondor job submission and monitoring available via SAGA's Python and C++ APIs.

Other HTCondor features include "[[DAGMan]]" which provides a mechanism to describe job dependencies.