-------------------------------------------------------------------- COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER AND THE SCHOOL OF PHYSICS, ASTRONOMY, & COMPUTATIONAL SCIENCES (CSI 898-Sec 001) -------------------------------------------------------------------- Challenges of Parallelism and Concurrency at Scale for Scientific and Data-Intensive Science and Engineering Almadena Chtchelkanova Computing and Communication Foundations, National Science Foundation, Arlington, VA 22230 To take full advantage of multicores, graphic processing units (GPUs), and other advanced computer architectures every computation- and data-intensive application should make a transition from serial to parallel programming model to exploit parallelism and concurrency at multiple levels and/or scales and take into consideration interactions between architecture, language, compiler, systems software, I/O & storage and application layers to satisfy energy, performance, reliability and programmability requirements. A radial examination of the whole hardware/software computing stack from applications, to algorithms, to system software, to architectures to technologies is required to lay the foundation of the HPC environment of the next generation. Short Bio Dr. Almadena Chtchelkanova is a Program Director at the Directorate for Computer and Information Science and Engineering at the National Science Foundation. Dr. Chtchelkanova is in charge of the areas of High Performance Computing (HPC), Compilers, and Advanced Computation Research. She is a Lead Program Director and inter-agency coordinator for High End Computing University Research Activity. Before joining NSF in 2005 Dr. Chtchelkanova worked for Strategic Analysis, Inc. as a Senior Scientist providing technical support to Defense Advanced Research Program Agency (DARPA). She provided programmatic support and oversight for Spintronics, Quantum Information Science and Technology (QuIST) and Molecular Observation and Imaging programs. Dr. Chtchelkanova spent four years working at the Laboratory for Computational Physics and Fluid Dynamics at the Naval Research Laboratory located in Washington, DC. Dr. Chtchelkanova has considerable experience working with HPC applications. She developed and implemented portable, scalable, parallel adaptive mesh generation algorithms for computational fluid dynamics, weather forecast, combustion and contaminant transport. Dr. Chtchelkanova holds an MA degree from the Department of Computer Sciences at the University of Texas at Austin (1996) and a Ph.D. degree in physics from Moscow State University in Russia (1988). Monday, February 27, 2012 4:30 pm Room 301, Research I, Fairfax Campus Refreshments will be served at 4:15 PM. ---------------------------------------------------------------------- Find the schedule at http://www.cmasc.gmu.edu/seminar/schedule.html