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 ...

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 ...

And it depends on which part of machine learning you want to master. So, for the sake of concreteness, let's assume that we're talking about a junior engineer who has four years of university and ...

Analyzing Small-to-Medium Datasets When it comes time to develop a codified machine learning pipeline, for datasets that can be handled by a single node, it is hard to beat the Python-based ...

More information: Faye Orcales et al, Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper, PLOS Computational Biology (2024). DOI: 10.1371/journal.pcbi.1012579 ...

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 ...

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.

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 ...

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 ...