Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

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 ...

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 lever ...

Once the training data is prepared, a distributed MPI application is then used to adjust the parameters of the machine- or deep-learning model through a ‘training’ or optimization procedure. All ...

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 ...

Apache Spark is a hugely popular open source platform for data science and machine learning, commercially supported by Databricks. Spark supports in-memory processing and scales well via clustering.

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 ...