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Thursday, March 6 • 1:00pm - 1:20pm
Programming Models, Libraries and Tools: Research and Development into Extreme Scale I/O using the Adaptable I/O System (ADIOS), Scott Klasky, Oak Ridge National Laboratory

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One of the most pressing problems facing the High Performance Computing (HPC) community is the ability to compose next generation simulations and understand the performance vs. performance tradeoffs. One of the realizations of exascale computing is that we will not be able to simply save all of the data from simulations, and we must move to more of a “in-situ” processing paradigm. In our research we have developed techniques to deal with the increasing disparity between I/O throughput and compute capability. As part of this effort we developed the Adaptable IO System (ADIOS), which focused on a Service Oriented Architecture, by combining cutting edge research into new I/O techniques. As a result, ADIOS provides the highest level of synchronous I/O performance for a number of mission critical applications at various DOE Leadership Computing Facilities, and as a result, won a R&D 100 award. Our research has focused on many of the pressing needs for exascale computing, and in this presentation we focus on two critical areas: 1) Creating new abstractions and middleware for location-flexible scientific data analytics, 2) Creating new techniques to facilitate spatial and temporal queries of scientific data analytics.

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avatar for Amik St-Cyr

Amik St-Cyr

Senior researcher, Shell
Amik St-Cyr recently joined the Royal Dutch Shell company as a senior researcher in computation & modeling. Amik came to the industry from the NSF funded National Center for Atmospheric Research (NCAR). His work consisted in the discovery of novel numerical methods for geophysical fluid flows with particular attention to their implementation on supercomputers. He has experience in a plethora of numerical methods for solving time-dependent... Read More →

Speakers

Thursday March 6, 2014 1:00pm - 1:20pm
BRC 280 Rice University 6500 Main Street at University, Houston, TX 77030

Attendees (3)