Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. "Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This ...

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

While there are many more machine learning frameworks available than are mentioned in this article, the frameworks mentioned here are well-supported and robust, and will help users to succeed in their ...

Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. Previous articles in this series discussed an exascale-capable machine learning algorithm and ...

What would be your advice to a software engineer who wants to learn machine learning? This question was originally answered on Quora by Alex Smola.

The future of machine learning is distributed If you are familiar with ML model deployment, you may know about PMML and PFA. PMML and PFA are existing standards for packaging ML models for deployment.

Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

“In addition to applications in the military domain, coresets and distributed machine learning in general are also widely applicable in the commercial setting, where multiple organizations would ...