In this video from the HPC Advisory Council Switzerland Conference, D.K. Panda from Ohio State University presents: Accelerating Big Data with Hadoop (HDFS, MapReduce and HBase) and Memcached. Download the slides (PDF).
In this video from the HPC Advisory Council Switzerland Conference, D.K. Panda from Ohio State University presents: Accelerating Big Data with Hadoop (HDFS, MapReduce and HBase) and Memcached. Download the slides (PDF).
In this special guest feature, Trish Damkroger from Intel writes that only HPC can handle the pending wave of Big Data coming to datacenters from Smart Cities. “While each individual city’s data footprint depends on the unique mix of smart applications deployed, you could guess that each smart city still has a lot of data to contend with. In the future, many cities may turn to AI algorithms to tap into this data to manage city operations. However, the scale of the data and need for rapid insights will make HPC-level computing resources a requirement to make the most of this opportunity.” [READ MORE…]
Successful HPC clusters are powerful assets for an organization. However, these systems are complex and must be built and managed properly to realize their potential. If not done properly, your ability to meet implementation deadlines, quickly identify and resolve problems, perform updates and maintenance, accommodate new application requirements and adopt strategic new technologies will be jeopardized. Download the new white paper from Bright Computing that explores key strategies for HPC clusters.
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