sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Data Management, Analysis and Visualization Tools for Data-Intensive Science

SESSION: Data Management, Analysis and Visualization Tools for Data-Intensive Science

EVENT TYPE: Tutorials

EVENT TAG(S): Programming Systems, Architectures, Data-Intensive Computing, Visualization

TIME: 1:30PM - 5:00PM

Presenter(s):Norbert Podhorszki, Qing Gary Liu, Scott Klasky, George Ostrouchov, Dave Pugmire, Jong Choi



This tutorial synergizes three SC'14 tutorial: ADIOS, pbdR and VisIt and the goal is to teach users how to achieve high performance (I/O, analytics, and visualization) using a complete software ecosystem. As complexities continue to increase on high-end machines, experimental and observational devices, managing, analyzing, and visualizing “Big Data” efficiently becomes challenging. This tutorial will focus on a software ecosystem (part I) to efficiently write, read, process, and visualize data in-motion and at-rest. Part II of this tutorial introduces parallel I/O (ADIOS, HDF5), file systems, and discusses how to use these efficiently on high-end systems. We will have a hands-on-session using the ADIOS I/O framework to efficiently write and read big data from simulations. Part III will continue with data analysis, covering the pbdR system of packages, which enable parallel processing with R. We also include an approach to this with Python. Finally in Part IV, we will show users how to visualize data at rest and in motion, using VisIt and ParaView.

Chair/Presenter Details:

Norbert Podhorszki - Oak Ridge National Laboratory

Qing Gary Liu - Oak Ridge National Laboratory

Scott Klasky - Oak Ridge National Laboratory

George Ostrouchov - Oak Ridge National Laboratory

Dave Pugmire - Oak Ridge National Laboratory

Jong Choi - Oak Ridge National Laboratory

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