HPC Advisory Council

Recently we have completed a small refresh in the cluster center. The Cluster Center offers an environment for developing, testing, benchmarking and optimizing products free of charge. The center, located in Sunnyvale, California, provides on-site technical support and enables secure sessions onsite or remotely. The Cluster Center provides a unique ability to access the latest clustering technology, sometimes even before it reaches public availability.

In the last few weeks, we have completed the installation of a Windows HPC Server 2008 cluster, and now it is available for testing (via the Vulcan cluster). We have also received the Scyld ClusterWare™ HPC cluster management solution from Penguin Computing (a member company) and installed it on the Osiris cluster.

Scyld was designed to make the deployment and management of Linux clusters as easy as the deployment and management of a single system. A Scyld ClusterWare cluster consists of a master node and compute nodes. The master node is the central point of control for the entire cluster. Compute nodes appear as attached processor and memory resources. More information on Scyld can be found here.

Adding Scyld to Osiris helps the Council with the best practices research activities that provide guidelines to end-users on how to maximize productivity for various applications using 20 and 40Gb/s InfiniBand 20 or 10 Gigabit Ethernet. I would like to thank Matt Jacobs and Joshua Bernstein from Penguin Computing for their donation and support during the Scyld installation.

Best regards,
Gilad Shainer
Chairman of the HPC Advisory Council

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Interactive Supercomputing mission is to bridge the gap between easy-to-use desktop modeling, simulation and development tools with the power, scalability and low cost of parallel computer systems, clusters and grids. In order to fulfill this mission, we have developed the Star-P software platform. Is is an interactive parallel computing platform that extends existing desktop simulation tools for simple, user-friendly parallel computing on a spectrum of computing architectures such as multi-core clusters.

Our customers are scientists, engineers and analysts who want to solve large and complex problems that can no longer be done productively on the desktop computer. By eliminating the re-programming associated with porting desktop application code to parallel systems, Star-P fundamentally transforms the workflow, substantially shortening the “time to solution,” and delivers the “best of both worlds”-the interactive and familiar use of the desktop coupled with supercomputer-like problem-solving capabilities.

We have presented the performance capabilities of Star-P at SC08, and wanted to share with you the presentation.

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