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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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What's cookin’ down on the bayou?

Gabor Samu | 2014-11-07 13:21:35.0 | Tags:  openpower ibm platform workload throughput computing cluster management optimize power8 | 0 Comments

This year, SC14 takes place in New Orleans, Louisiana, a place known for its famous creole and cajun cuisines.  Much like the food, Supercomputing this year is lining up to be a very spicy event.  With the recent divestiture of IBM System x to Lenovo, and the tremendous momentum behind (...)


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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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Making Hybrid Cloud Work for You

Louise Westoby | 2014-07-08 16:33:44.0 | Tags:  matters platform workload elastic storage infrastructure lsf hybrid computing softlayer service cloud management symphony | 0 Comments

If several large projects require the same technical computing resources for a two week period, what should you do? Or what happens if you are experiencing spikes in infrastructure demand at a certain period during the day--do you purchase additional infrastructure to accommodate that increase in demand even though those (...)


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