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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 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 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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Accelerated analytics with IBM Platform LSF

Gabor Samu | 2014-08-22 10:00:00.0 | Tags:  hpc beta workloadmanagement bigdata analytics accelerate big mapreduce lsf open data | 0 Comments

With the collision of big data & analytics with traditional High-Performance Computing (HPC), there is growing interest in leveraging the disciplines of HPC to perform analytics on the vast amounts of data being collected in many fields.  MapReduce is the de facto programming model for performing analysis on large volumes (...)


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