Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.
Use Cases Benefiting from the Optimization of Small Networking Data Packets using DPDK, an Open Source Solution
The Data Plane Development Kit (DPDK) is a set of optimized data plane software libraries and drivers that can be used to accelerate packet processing on Intel® architecture.
英特尔® 数据平面开发套件（英特尔® DPDK）是一套优化的数据平面软件库和驱动程序，可用于加速英特尔® 架构上的数据包处理。 得益于处理器技术的改进，英特尔® DPDK 的出色性能从英特尔® 凌动™ 处理器成功扩展至英特尔® 至强™ 处理器。
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL 2019 and will be removed in the next intel® MKL Release.
Since HPC applications target high performance, users are interested in analyzing the runtime performance of such applications.