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Thursday, February 28 • 12:30pm - 12:55pm
Accelerated Computing: "Fully hybrid and scalable downward extrapolation migration on Xeon Phi cluster," Victor Arslan, CGGVeritas

 

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The aim of this work is to evaluate the benefits of using dual-socket server accelerated with Intel Xeon Phi Coprocessor in a single node or in a cluster configuration. This heterogeneous architecture (CPUs + coprocessors) raises a load balancing issue which is managed by a fully hybrid (MPI+OMP) implementation.


Moderator(s)
avatar for Simanti Das

Simanti Das

Manager, High Performance Computing Software Development & Support, ExxonMobil Technical Computing Company
Simanti Das, is currently the manager of High Performance Computing software development and support group in ExxonMobil Upstream IT organization. She is responsible for providing software development, optimization and support for massively parallel seismic imaging technologies for Upstream business use. Upon receiving her M.S in Computer Science from University of Houston in 1988, Simanti started her career at Exxon Production Research... Read More →
avatar for Scott Morton

Scott Morton

Manager and Global Geophysical Advisor, Hess Corporation
Scott Morton has 25 years of experience in computational and theoretical physics distributed between academia, the computer industry and the petroleum industry. Although originally trained as an astrophysicist, he switched to geophysics when he joined Shell in 1991 to do research and development in seismic imaging. Scott spent the next 7 years distributed between Shell, Thinking Machines, Cray Research and SGI, gaining expertise in both... Read More →
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 →

Speaker(s)
avatar for Victor Arslan

Victor Arslan

High Performance Computing Research Engineer, CGG
High Performance Computing Research Engineer. Graduated a Master in Applied Mathematics in 2009 and specialist in software programming on massively parallel architectures. I work at CGG on technology forecasting for computational accelerators, including the Intel MIC architecture (Many integrated Core).


Thursday February 28, 2013 12:30pm - 12:55pm
DH 1070 Duncan Hall