Masha Sosonkina, Ph.D.
Department of Modeling, Simulation and Visualization Engineering
Ph.D. - Computer Science and Applications - Virginia Polytechnic Institute and State University
M.S. - Applied Mathematics - Kiev State University, Ukraine
B.S. - Applied Mathematics - Kiev State University, Ukraine
Masha Sosonkina received her B.S. and M.S. degrees in Applied Mathematics from Kiev National University in Ukraine. She graduated from Virginia Tech in 1997 with a Ph.D. degree in Computer Science and Applications. Upon graduation, she worked as a faculty of the University of Minnesota Duluth.
From 2003-2012, Dr. Sosonkina was a scientist at the U.S. Department of Energy Ames Laboratory. She is currently a professor of Modeling, Simulation and Visualization Engineering at Old Dominion University. She has also been a visiting research scientist at the Minnesota Supercomputing Institute, at CERFACS and INRIA French research centers.
Dr. Sosonkina's research interests include high-performance computing, large-scale simulations, parallel numerical algorithms, performance analysis, and adaptive algorithms.
Phone: (757) 683-6367
Office: ECSB 1316
- A. Srinivasa and M. Sosonkina, Nonuniform memory affinity strategy in multithreaded sparse matrix computations, In Proc. 2012 Spring Simulation, Multiconf., High Performance Computing Symp. (HPC 2012), G. Howell et al. (eds), Soc. for Modeling and Simulation Internat., Vista, CA, 2012.
- A. Srinivasa and M. Sosonkina and P. Maris, and J.P. Vary, Dynamic adaptations in ab-initio nuclear physics calculations on multicore computer architectures, In Proc. Intl Parallel and Distributed Processing Symp. (IPDPS 2011), Anchorage, AK, May 2011, pp. 1332-1339.
- F. Liu, M. Sosonkina, and R. Bramley, A HPC sparse solver interface for scalable multilevel methods In Proc. 2009 Spring Simulation, Multiconf., High Performance Computing Symp., M. Chinni et al. (eds), Soc. for Modeling and Simulation Internat., San Diego, CA, 2009, 6 pages.