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.
Data Scientists are finding Intel DAAL very exciting because it helps speed big data analytics,” said Intel’s James Reinders. “It’s designed for use with popular data platforms including Hadoop, Spark, R, and Matlab, for highly efficient data access. We’ve seen Intel DAAL accelerate PCA by 4-7X ,and a customer that has seen 200X for the Alternating Least Square prediction algorithm, when compared with the latest open source Spark + MLlib. Intel DAAL was created by the renowned team that creates the Intel Math Kernel Library (Intel MKL). Intel DAAL can be thought of as “Intel MKL for Big Data” – but it is actually much more! Intel DAAL is available for Linux, OS X and Windows.”
Reinders has posted a complete writeup of new Studio features and Intel DAAL over at the Intel Blog. Readers can request an evaluation copy of Intel Parallel Studio XE 2016. It is also available for purchase worldwide.
