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IBM Platform Cluster Manager - how do you like your eggs?

Gabor Samu | 2015-07-07 14:08:35.0 | Tags:  xcat big power8 clusters clustermanagement bd&a grids openpower data manager hpc cluster computing analytics platform | 0 Comments

Whether your HPC center is in Lilliput or Blefuscu, you'll appreciate the importance of a flexible and easy-to-use cluster management solution to empower your populations. Administrators need software that will allow them to easily setup, manage, monitor and maintain their infrastructure and ensure consistency for repeatable performance. With the varied (...)


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Event: STAC Summit 2015

Andrew Jolie | 2015-06-15 10:05:54.0 | Tags:  power8 stac benchmark big ibm fast financial data chicago finance services openpower apache compute | 0 Comments

Join IBM in Chicago on Thursday, June 24th for the annual STAC Summit STAC meetings bring together industry leaders to focus on challenging areas of financial technology. They range from large in-person gatherings (STAC Summits) to webinars and working group teleconferences. The STAC Summit is put together to discuss the latest business (...)


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Supercomputing 2014: Laissez les bon temps rouler!

Gabor Samu | 2014-11-26 13:36:33.0 | Tags:  management platform scheduling lsf ibm openpower workload hpc cluster energy grid data systems centric aware | 0 Comments

BAM! As the say in New Orleans, let the good times roll!  Looking back at Supercomputing 2014, there is much to be excited about in the world of high performance computing. Things started off with the significant announcement that the U.S. Department of Energy awarded IBM contracts to develop "data centric" supercomputers (...)


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Did you know you can cut costs by better managing your data transfers?

Gabor Samu | 2014-09-16 08:20:49.0 | Tags:  hpc platform ibm management data scheduling lsf hptc | 0 Comments

Are you transferring data efficiently? Or is valuable computing power sitting idle in your clustered environment, waiting for files to be moved back and forth—and costing you money?   For many organizations, critical workloads often take longer than necessary and use more resources than needed because the right data is not in (...)


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