The Data Sharing and Infrastructure working group has enlisted the help of members from the south region and is working in collaboration with the Midwest, West, and NE Big Data Hubs, including representatives from the National Data Service, XSEDE, DataNet Federation, and iRODS Consortium. The WG will conduct a requirements analysis of Hub spokes and members, map existing assets, schedule demos of key components for a federated system, and through a testbed, demonstrate integration of iRODs, NDS Labs, XSEDE, and Discovery Environment. The WG meets every other week on Fridays from 3:00 – 4:30 PM EDT.
April 28: Presenter: Vas Vasiliadis/Globus: Simplifying Research Data Management via SaaS
April 28: Presenter: Vani Mandava & Jeff Prosise/Azure for Research: Bringing the Power of the Cloud to Big Data
Vas Vasiliadis: Globus: Simplifying Research Data Management via SaaS |Globus is software-as-a-service for research data management. Our goal is to make it easy for researchers to manage their data throughout its lifecycle, using just a web browser to move, share, and publish data, directly from your own storage systems. Globus provides secure, reliable, high-performance file transfer, the ability to share files with collaborators, and flexible workflows for identifying, describing, curating, and publishing data sets. Since its launch at SC10, the service has been deployed at hundreds of research institutions across the US and abroad. In this talk, we will provide an introductory overview and demonstration of Globus, and describe recent enhancements that bring additional capabilities to both researchers and research computing administrators.
Vas Vasiliadis is Director of Products at the Computation Institute, a joint initiative of the University of Chicago and Argonne National Laboratory, and is the Chief Customer Officer for Globus. In this capacity, Vas works with the research computing community to promote and deliver the use of Globus services for research data management. Vas is also a lecturer in the Masters Program in Computer Science where he teaches courses on Cloud Computing and Product Management. Prior to joining the University Vas held various executive management positions in software companies and large IT consultancies.
Vani Mandava & Jeff Prosise: Azure for Research: Bringing the Power of the Cloud to Big Data |In the early days of cloud computing, the “cloud” was mostly a place to park data and spin up virtual machines. Today it is much more. In addition to providing access to traditional storage and compute resources on Linux as well as Windows, Microsoft Azure includes extensive infrastructure options, and dozens of services to aid researchers build intelligent services and applications from large analytical workloads. These include GPU-equipped HPC clusters with InfiniBand networking, Spark and Hadoop clusters containing thousands of cores, Data lake store and analytical services that support R /Python based massively parallel data transformation, machine learning and stream processing as a service, native Docker container clusters, and cognitive APIs for extracting information from images, text, and other media. Learn what Azure is, how it is being used in the research community, and how to apply for Azure credits to bolster your research.
Vani Mandava is Director of the Data Science for Research effort at Microsoft Research at Redmond. She has over a decade of experience designing and shipping software projects and features that are in use by millions of users across the world. Her role in the Microsoft Research Outreach team is to enable academic researchers and institutions develop technologies that fuel data-intensive scientific research using advanced techniques in data management, data mining. She has enabled the adoption of data mining best practices in various Version1 products across Microsoft client, server and services in the productivity (Office) and online advertising (Bing Ads) space. She holds patents in service infrastructure and after spending bulk of her career in engineering, finds it fascinating to work alongside researchers and scientists.
Jeff Prosise is a co-founder of Wintellect and a software developer who has written nine books and hundreds of magazine articles, trained thousands of developers at Microsoft, and spoken at some of the world’s largest software conferences. In his former life as a mechanical and aerospace engineer, Jeff worked at Oak Ridge National Lab and Lawrence Livermore National Lab, where, among other things, he developed software that combined thermal and structural finite-element methods to model optical systems for high-power laser beams. Today he is thrilled (and somewhat amazed) that with a few button clicks in the Azure Portal, he can spin up an HPC cluster almost as powerful as the Crays he used to work on.
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