In this video from the 2018 Blue Waters Symposium, Aaron Saxton from NCSA presents a tutorial entitled “Machine Learning with Python: Distributed Training and Data Resources on Blue Waters.” “Blue ...

They describe the shortcomings of these existing approaches to Dorm, noting that many, including monolithic, two-level, shared state, fully distributed and hybrid cluster managers can only statically ...

MLlib: A Natively Distributed Machine Learning Framework. The Apache Spark distributed computing framework, used throughout industry, includes MLlib, a machine learning library that rivals ...

It isn't a complete coincidence that Jeff Dean gave half a dozen machine learning tutorials in the past year. ... Distributed hash table This is essentially what methods such as memcached, ...

MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing.The Intel MPI implementation is a core ...

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...

Tel Aviv’s Run.AI, a startup that is building a new virtualization and acceleration platform for deep learning, is coming out of stealth today.As a part of this announcement, the company also ...