|Computational Mathematics Seminar Series|
|Asynchronous Optimized Schwarz Methods for Partial Differential Equations in Rectangular Domains|
|Jose Garay, Louisiana State University|
|Digital Media Center 1034
September 18, 2018 - 03:30 pm
Synchronous iterative algorithms are parallel iterative algorithms in which iterations and communications are synchronized among processors. Any load imbalance, non-uniformity in hardware performance or the time required to communicate information among processing units and memory causes processing units to idle at the synchronization point and impacts performance. Given the heterogeneous and distributed architecture of modern supercomputers, idle times in processing units are an issue in terms of efficiency.
In asynchronous parallel iterative algorithms, communications and iterations are not synchronized among processors. Thus, as soon as a processing
Jose Garay is a Postdoctoral Researcher at the Center for Computation & Technology at Louisiana State University. He obtained a bachelor’s degree in Electronics Engineering from the Universidad Nacional de Asunción in Paraguay. Later he received a Ph.D. degree in Mathematics from Temple University. His Ph.D. thesis research focused on asynchronous domain decomposition methods. His research interests include Numerical Analysis in general and Numerical Linear Algebra in particular, Domain Decomposition methods, High Performance Computing, Data Science, Dynamical Systems, Asynchronous Algorithms, Computational Physics and Computational Neuroscience.
|This lecture has refreshments @ 03:00 pm|