Scientific Computing on Amazon Web Services
* Free, public seminar — all welcome. No RSVP required. *
Abstract:
This talk will get scientists and researchers thinking about how they can benefit from the virtually limitless resources AWS offers them for computing, storage and data analytics.
We will start with the general principles that make the public cloud a good match for today’s research challenges, from shortening the time to prove or disprove a new idea, to collaborating on massive datasets.
Next, we will review examples of current and upcoming research in the cloud across several science domains from astronomy to genomics, demonstrating the benefits of new technologies and of scale.
We’ll cover using technologies such as AWS Batch and AWS Lambda Serverless to create automated pipelines to analyse incoming data; and Amazon SageMaker to democratise machine learning, so that applied scientists who’ve used a few Python scripts for analysis can suddenly take advantage of massive GPU clusters and optimised deep learning frameworks to train highly accurate and publishable models.
We’ll close out with some of the ways AWS is engaging with research science.
Speaker bio:
Dr Kevin Jorissen is AWS' Research and Technical Computing Lead.
He has 10 years of experience in computational science.
He holds a PhD from the University of Antwerp (Belgium) and worked as a postdoctoral researcher in Seattle, Lausanne, and Zurich.
As a physicist, he developed software solving the quantum physics equations for light absorption by materials, taught workshops to scientists worldwide, and wrote about high performance computing in the cloud.
Kevin joined Amazon in 2015 to help accelerate the adoption of cloud computing in the scientific community globally.