Correcting Some Mistakes

Benchmarks are an important tool for measuring performance, but in a rapidly evolving field it can be difficult to keep up with the state of the art. Recently Intel published some incorrect “facts” about their long promised Xeon Phi processors. Few fields are moving faster right now than deep learning. Today’s neural networks are 6x deeper and more powerful than just a few years ago. There are new techniques in multi-GPU scaling that offer even faster training performance. In addition, our architecture and software have improved neural network training time by over 10x in a year by moving from Kepler to Maxwell to today’s latest Pascal-based systems, like the DGX-1 with eight Tesla P100 GPUs. So it’s understable that newcomers to the field may not be aware of all the…


Link to Full Article: Correcting Some Mistakes