Intel® Cluster Ready and Clustercorp Rocks + Product Brief

May 6th, 2009 11:24 am
Posted by Tim McIntire
Tags: , , , , , , , ,

[Excerpt] By choosing Intel® Cluster Ready systems equipped with the new Intel® Xeon® processor 5500 series and running Clustercorp Rocks+* software, you can achieve groundbreaking, energy-efficient application performance while simplifying the process of buying, deploying, and operating a high-performance computing (HPC) cluster. Clustercorp Rocks+ software helps hardware vendors accelerate the time to market for certified Intel Cluster Ready clusters based on the new Intel® microarchitecture. Clustercorp Rocks+ also helps you, the end user, take full advantage of the new microarchitecture by giving you all the tools you need to optimize your application, all in a single distribution. Select a certified Intel Cluster Ready system and Clustercorp Rocks+ to experience breakthroughs in performance while gaining the confidence that everything will work together, right out of the box.

Click here to download "Intel® ICR Clustercorp Rocks + Product Brief"


You must be a Registered Member in order to comment on Cluster Connection posts.

Members enjoy the ability to take an active role in the conversations that are shaping the HPC community. Members can participate in forum discussions and post comments to a wide range of HPC-related topics. Share your challenges, insights and ideas right now.

Login     Register Now

Author Info

Tim McIntire, CEO and Co-Founder of Clustercorp, is a leader in bringing the HPC (i.e. Supercomputing) industry's thriving open source software community together with the industry's major hardware suppliers. McIntire's vision led to Clustercorp's development of Rocks+ and subsequent partnerships with Dell Inc, Cray Inc, Intel Corporation (and others) to produce the world's fastest class of computers using a simple, repeatable process.

McIntire's previous work includes leading the development team at the Digital Image Analysis Lab at Scripps Institution of Oceanography. His research, which was primarily funded as part of NASA's Direct Broadcast program, has been published in various IEEE and Elsevier Journals on topics ranging from remote sensing using neural networks to parallel image processing using HPC Clusters. He also contributes or has been featured in IBM developerWorks, HPCwire, Bio IT World, Apple Developer Connection and the computational science magazine, enVision.