How complete is your HPC cluster management solution?

Gabor Samu | 2015-01-29 14:43:58.0 | Tags:  hpc cloud xcat management lsf toolkit ibm clusters platform | 0 Comments

It's 2015.  What better way to start off the year then by looking at the latest release of IBM Platform HPC, a complete cluster management solution for High Performance Computing clusters.  Whether you are searching for oil, predicting weather, or designing semiconductors, high performance computing is a necessity for competitiveness (...)


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Struggling with costly grid infrastructure silos? Here’s a solution.

RICK JANOWSKI | 2014-12-22 14:17:50.0 | Tags:  sharing computing platform symphony cluster hpc grid resource | 0 Comments

Your organization might employ a cluster or grid management solution to support its high-performance distributed computing environment. But the solution requires a separate infrastructure to support each application workload. How do you preserve line of business ownership while delivering service-level guarantees? Better yet, how do you address ongoing pressures to (...)


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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 cluster hpc energy grid systems data 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 data management 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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