IBM Platform Computing

Maximize the Agility of your Distributed Computing Environment




Create an Agile Environment for Diverse Big Data & Analytics and HPC Workloads

Andrew Jolie | 2015-02-22 00:09:00.0 | Tags:  clusters bigdata platform hpc manager computing cluster analytics | 0 Comments

IBM® Platform™ HPC V4.2 is an easy-to-use High-Performance Computing infrastructure management software. It's advanced cluster and workload management capabilities are all accessible via an intuitive web-based user interface. Featuring refreshed workload management, MPI and cluster management enhancements, Platform HPC provides shorter time to system readiness, improved user productivity and optimal (...)


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Learn new ways to harness big data and accelerate analytics with software-defined storage and cloud

Andrew Jolie | 2014-09-10 14:58:37.0 | Tags:  hadoop chicargo houston software sds boston bigdata event analytics platform cloud storage defined computing roadshow | 0 Comments

Big data, analytics, software defined storage and cloud computing are converging in new ways that can help your business reach its goals. That’s why IBM is offering this complimentary, informational, half-day seminar in October where you can learn more about these trends and best practices in a city near you. Who (...)


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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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Can you address spikes in infrastructure demand quickly and cost-effectively?

Louise Westoby | 2014-02-25 11:23:20.0 | Tags:  platformsymphony analytics grid cloud technicalcomputing ibm clusters platformlsf softlayer platformcomputing | 0 Comments

Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time? Simply adding hardware to address peak workload requirements, especially if they (...)


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