Being able to analyze massive quantities of data is more important than ever before in today’s data-driven world. Chinese company MeritData helps its customers explore and exploit the value in their data using data analysis algorithms and other powerful tools for data processing, mining, and visualization.
To keep at the top of its game, MeritData has to ensure its data mining algorithms are as efficient as possible. And to do that, MeritData turned to Intel. Intel worked with MeritData’s algorithm engineers to optimize the company’s multiple data mining algorithms using Intel® Data Analytics Acceleration Library (Intel® DAAL) and Intel® Math Kernel Library (Intel® MKL). The result was average performance improvements ranging from 3x all the way to 14x.
“Through close collaboration with Intel engineers, we adopted the Intel® Data Analytics Acceleration Library and Intel® Math Kernel Library for algorithm optimization in our big data analysis platform (Tempo*).” explained Jin Qiang, data mining algorithm architect at MeritData. “The performance―and customers’ experience―is improved significantly. We really appreciate the collaboration with Intel, and are looking forward to more collaboration.”
Get the whole story in our new case study.