OSCAR 2.3.1 - HPC Cluster Management Toolkit
Posted by Thomas Naughton (Tuesday October 07 2003 @ 04:16PM EDT) [ ]
October 7, 2003 -- The OSCAR working group has released a new version of the Open Source Cluster Application Resources (OSCAR) toolkit, OSCAR 2.3.1.

OSCAR is a software package that supports the use of high-performance computing by reducing the work of cluster configuration, installation, operation, and management. Enhancements to previous versions of OSCAR in OSCAR 2.3.1 include a faster, multicast-based version of the OSCAR installer; a more scalable version of OSCAR's remote command execution toolkit; a more expressive packaging API, which allows package authors to more easily convey package requirements; and a redesigned and improved, Qt-toolkit-based, graphical user interface for the OSCAR Package Downloader (OPD) wizard. This improved wizard enables a user to download additional packages from on-line repositories prior to the cluster install.

OSCAR 2.3.1 also includes the new LAM/MPI 7.0 communications library, and supports the use of several previously unsupported software packages, including Myrinet, PVFS, and Clumon. These new packages can be downloaded at the start of an installation via OPD and then installed as part of normal OSCAR installation.

OSCAR 2.3.1, has been fully tested for use with IA32 processors, under Red Hat 8.0, 9.0 and Mandrake 9.0. Those seeking IA64 support should use version 2.2.1 of OSCAR for now.

OSCAR 2.3.1, OSCAR 2.2.1, and additional information about the OSCAR project are available from the OSCAR project page:

http://sourceforge.net/projects/oscar/

The OSCAR working group is a consortium of industry, academic and research participants. Primary contributors include Bald Guy Software, Dell, IBM, Intel, Indiana University, Intel, MSC.Software, National Computational Science Applications (NCSA), Oak Ridge National Laboratory (ORNL) and Sherbrooke University. OSCAR is the product of the OSCAR working group of the Open Cluster Group (OCG). OCG is dedicated to making cluster computing practical. The OCG and its subgroups are open to all.

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