Intel has been developing big data analytics frameworks and libraries built on Software Defined Infrastructure with open standard building blocks. From open enterprise-ready software platforms to analytics building blocks, runtime optimizations, tools, benchmarks, and use cases, Intel® software makes big data and analytics faster, easier, and more insightful. Examples include Apache Hadoop and Spark optimized frameworks, Intel Data Analytics Acceleration Libraries (Intel DAAL), and BigDL: Distributed Deep Learning on Apache Spark which runs over Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN).
These Intel frameworks and libraries are being integrated with Intel FPGA acceleration options. Customers can run unmodified applications which at run time can run on Intel Xeon®, or Intel FPGA, or other Intel platforms. Intel is also providing FPGA acceleration frameworks with end to end orchestration, virtualization, and security. Intel together with a partner ecosystem is offering unstructured, NoSQL, and relational data store acceleration with multi-function single Intel FPGAs, which accelerate data streams, networking, data access, and algorithms.