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High Performance Big Data Computing Using Harp-DAAL

Harp-DAAL is a framework developed at Indiana University that brings together the capabilities of big data (Hadoop) and techniques that have previously been adopted for high performance computing.  Together, employees can become more productive and gain deeper insights to massive amounts of data.

SC17 Invited Talk Preview: High Performance Machine Learning

Over at the SC17 Blog, Brian Ban begins his series of SC17 Session Previews with a look at a talk on High Performance Big Data. “Deep learning, using GPU clusters, is a clear example but many Machine Learning algorithms also need iteration, and HPC communication and optimizations.”

Intel Updates Developer Toolkit with Data Analytics Acceleration Library

Today Intel released Intel Parallel Studio XE 2016, the next iteration of its developer toolkit for HPC and technical computing applications. This release introduces the Intel Data Analytics Acceleration Library, a library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms.