Cloud Computing for Science and Engineering
Presenters
Event Type
Tutorial
Clouds and Distributed Computing
Machine Learning
Storage
TimeSunday, November 12th8:30am -
5pm
Location203
DescriptionThis tutorial introduces the working scientist,
engineer or student to cloud computing. It surveys the
technology that underpins the cloud, new approaches to
technical problems enabled by the cloud, and the
concepts required to integrate cloud services into
scientific work. It covers managing data in the cloud,
and how to program data services; computing in the
cloud, from deploying single virtual machines or
containers to supporting basic interactive science
experiments to gathering clusters of machines to do data
analytics; using the cloud as a platform for automating
analysis procedures, machine learning, and analyzing
streaming data; building your own cloud with open source
software; and cloud security. The tutorial works best if
you have Python and Jupyter installed on your laptop,
but it can be enjoyed otherwise.
The tutorial is supported by a book, Cloud Computing for Science and Engineering, to be published by MIT Press in September 2017. The text of the book is also available online as a reference at https://Coud4SciEng.org, along with numerous Jupyter notebooks and other code samples. This site is the online resource for the book. It contains the Jupyter notebooks that are described in the book as well as additional material including lecture slides.
The tutorial is supported by a book, Cloud Computing for Science and Engineering, to be published by MIT Press in September 2017. The text of the book is also available online as a reference at https://Coud4SciEng.org, along with numerous Jupyter notebooks and other code samples. This site is the online resource for the book. It contains the Jupyter notebooks that are described in the book as well as additional material including lecture slides.
Links
