Pre-Spark Summit Meetup in Dublin, Ireland

Since the creation of Apache Spark, I/O throughput has increased at a faster pace than processing speed. In a lot of big data applications, the bottleneck is increasingly the CPU. With the release of Apache Spark 2.0 and Project Tungsten, Spark runs a number of control operations close to the metal. At the same time, there has been a surge of interest in using GPUs (the Graphics Processing Units of video cards) for general purpose applications, and a number of frameworks have been proposed to do numerical computations on GPUs. In this talk, we will discuss how to combine Apache Spark with TensorFlow, a new framework from Google that provides building blocks for Machine Learning computations on GPUs.