Spark SQL Adaptive Execution at 100 TB By: Carson Wang, Yucai Yu, Chenzhao Guo, Hao Cheng (Intel), Yuanjian Li (Baidu)
Part 1: How to Deploy BigDL as a Docker* Container or Virtual Machine
Learn how easy it is to get started with BigDL on Apache Spark*.
Part 2: Build a Basic Neural Network Model with BigDL
Learn how you can build a simple model and use sample dataset to train your model.
Industry 4.0 - Making IIoT a semi-automatic machinery #1 Statement The Internet of Things (IoT) is changing everything, including ourselves and our habits; just think about the impact the internet had in instruction, communication, economy, science and public administration fields, so clearly it’s about one of the most resounding inventions in...
Accelerating Deep Learning Training with BigDL and Drizzle on Apache Spark* In recent years, the scale of datasets and models used in deep learning has increased dramatically. Although larger datasets and models can improve the accuracy in many artificial intelligence (AI) applications, they often take much longer to train on a single machine.
Missed the Intel® AI Academy DevJam? Here are the Top Four Highlights The evening before the Dec. 4-9, 2017 Neural Information Processing Systems (NIPS) Conference, hundreds of students, professors, data scientists and developers packed into The Westin Long Beach for the Intel® AI Academy DevJam.
Am I Becoming Obsolete? It has occurred to me that with all the new technology advances over the last five years that my programming skill set may be becoming obsolete. There has been much more emphasis on web page design than in, say, computational fluid dynamics; more cycles and (electronic) ink being spent on machine...
Enabling Intel® MKL in PETSc applications PETSc(Portable, Extensible Toolkit for Scientific Computation) is an open source suite of data structures and routines for the parallel solution of scientific applications modelled by partial differential equations. Starting from release 3.8 PETSc users can benefit from enabling Intel® MKL...