“Cloud computing is primarily a business phenomenon, not a technological one. The drivers for market uptake are flexibility and cost-efficiency, not technology, which is just an enabler. All of the relevant technologies have long existed. All of the issues associated now with cloud computing have long existed – security, data sovereignty, availability (2.1), service level management, interoperability (2.25), license management, etc. What is different now is that the business imperative is forcing the industry to come up with better solutions for these long-existing problems” (ISO/IEC 17788:2014, Par 2.7 Note).
Cloud computing is changing the way that businesses work. It is also changing the way that science is carried out, and is enabling new science outcomes. This workshop introduces the work that CSIRO is carrying out to support scientists in their adoption and use of the cloud through the introduction of new tools and services that interact with the major Cloud Service Providers. Following up from this, we have three dedicated, hands-on sessions: one by the Pawsey Supercomputing Centre, through their NIMBUS cloud service, followed by two of the major commercial Cloud Service Providers – Amazon Web Services and Google – who will introduce, demonstrate and discuss in an interactive forum the major features of their respective services.
|09:15 – 09:30||Introduction to the workshop
John Zic, CSIRO
|09:30 – 10:30||Overview of CSIRO’s work in cloud computing to enable research and science outcomes
Lead: Brendan Speet, CSIRO
|10:30 – 11:00||Morning tea|
|11:00 – 12:00||Technical introduction to NIMBUS, Pawsey Supercomputing Centre’s Cloud Service for Science
Lead: Mark Gray, Pawsey Supercomputing Centre
|12:00 – 13:30||Working Lunch break
NIMBUS workshop continues.
|13:30 – 15:00||Workshop session from AWS
Data analytics and Deep Learning on AWS with Jupyter and MXNet
Lead: Adrian White, AWS
This workshop will take attendees through the basics of AWS and why investigators are using AWS to accelerate their research. Attendees will get hands-on experience creating their own Jupyter Notebook environment on AWS, and then use that environment to explore deep learning approaches on AWS using the MXNet Deep Learning Framework.
By the end of the workshop attendees will have:
|15:00 – 15:30||afternoon tea|
|15:30 – 17:00||Workshop session from Google
Cloud Quest: Scientific Data
Lead: Lak Lakshmanan, Google
Based on the following lab:
Lab Units 4, 5, and 6 will be used to cover the areas of
The workshop is grounded in practical use cases:
Unit 4 – Distributed Computation of NDVI from Landsat Images using Cloud Dataflow
Unit 5 – Analyzing Natality Data using Datalab and BigQuery
Unit 6 – Predicting baby weight with TensorFlow on Cloud ML Engine
|17:00 – 17:15||Wrap-up and close|
Thursday 20th July, 2017.
Room: Clarendon D, level 2.
Melbourne Convention and Exhibition Centre
1 Convention Place, Melbourne, Victoria
John Zic: John.Zic@csiro.au
The C3DIS 2017 will bring together researchers with computational and data science specialists from CSIRO, publicly funded research organisations and other invited institutions and organisations. This will enable attendees to share their science outcomes and learnings, and build a community of practice around Computational and Data Intensive science.
Free for CSIRO staff and invited participants