This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)
In continued efforts to optimize Deep Learning workloads on Intel® architecture, our engineers explore various paths leading to the maximum performance.
Использование набора инструкций Intel SSSE3 для ускорения реализации алгоритма DNN в задачах распознавания речи, выполняемых на мобильных устройствахThe main algorithm of speech recognition has changed to DNN (Deep Neural Network). Without internet, the speech recognition service in your mobile devices nearly useless, very few times it can listen to what you said and work.With support for the SSSE3 instruction set on Intel’s CPU, we could easy run a DNN based speech recognition application without the internet. Adding direct SSSE3 support...
Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.
Joseph Spisak, Director, Strategy and Business Development at Intel, discusses Intel’s machine learning strategy and its impact.
Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.
Kent Moffat, Senior Product Manager at Intel, discusses Intel’s data analytics acceleration and math kernel libraries and how to get started.