Projects / HPCC Systems

HPCC Systems

HPCC (High Performance Computing Cluster) stores and processes large quantities of data, processing billions of records per second using massive parallel processing technology. Large amounts of data across disparate data sources can be accessed, analyzed, and manipulated in fractions of seconds. HPCC functions as both a processing and a distributed data storage environment capable of analyzing terabytes of information.

Operating Systems

Last announcement

Adventures in Graphland 01 May 2014 20:24

New Blog Series from Chief Data Scientist, David Bayliss, on graph processing and the new Knowledge Engineering Language, KEL.

Recent releases

  •  01 May 2014 20:27

    Release Notes: This latest version includes the same release notes as CE 4.2.2 as well as bug fixes and patch builds.

    •  21 Mar 2014 14:48

      Release Notes: This is a maintenance release which includes updates and issue fixes.

      •  05 Mar 2014 19:19

        Release Notes: The HPCC Systems Platform Release Candidate is now available. Changes include memory leak fixes, ECL Watch updates, minor clarifications in DOCs, and other miscellaneous bugfixes.

        •  14 Nov 2013 14:21

          Release Notes: This release adds ECL visualizations (including a new cellFormatter bundle), improvements to ECL Watch Technical Preview, an ECL Plugin for Eclipse's new features, a Roxie Monitoring Tool (Ganglia) Technical Preview which leverages Ganglia, an Open Source, scalable, distributed monitoring system to produce a graphical view of a Roxie cluster's servers , package map improvements, GROUP JOIN and LOOKUP JOIN improvements, and much more.

          •  08 Nov 2013 19:30

            Release Notes: This release contains updates and fixes from the prior version. Changes include, but are not limited to, documentation updates to JVM settings, Configmgr, Automate Eclipse Help, support for CentOS builds with the -with-plugins variant, clarification of ECL bundle parameter documentation, and more.


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