Dr. Padma Raghavan
Associate Vice President for Research and Director of Strategic Initiatives
Director, Institute for CyberScience
Distinguished Professor, Computer Science and Engineering
Affiliate Professor, Information Sciences and Technology
Pennsylvania State University
Office: 304 Old Main
Phone/Voice Mail: (814) 865-9233
(814) 863-9657

Staff:  Lesley Moore  
Phone:  814-863-9658  

 
E-mail address: raghavan@cse.psu.edu
US mail address:Computer Science and Engineering,343K IST Building
University Park, PA 16802

Louise Troxell slt29@psu.edu
Phone: 814-867-1467
Fax: 814-863-9659


Padma Raghavan is the Associate Vice President for Research and the Director of Strategic Initiatives at the Pennsylvania State University, where she is also a Distinguished Professor of Computer Science and Engineering. Raghavan is the founding Director of the Penn State Institute for CyberScience, the coordinating unit on campus for developing interdisciplinary computation and data-enabled science and engineering. Prior to joining Penn State in August 2000, she served as an associate professor in the Department of Computer Science at the University of Tennessee.

Raghavan's research is in the area of high-performance computing and computational science and engineering. She has over ninety five peer-reviewed publications in three major areas including: scalable parallel computing; energy-aware supercomputing, i.e., performance and power scalability of advanced computer systems; and computational modeling, simulation and knowledge extraction. Contributions predominantly concern enhancing the parallel performance, energy efficiency and reliability of computations that involve high-dimensional sparse and unstructured data including matrices, and graphs. Sparse representations of data arise from many different contexts, for example, from largely local connections in a system represented as a sparse graph or network or from partial differential equations models where the number of nonzeroes in an associated matrix is bounded by a small constant times its dimension. Algorithms that exploit sparsity can deliver performance improvements by constant factors to orders of magnitude. Consequently, they enable the solution of larger or more complex problems for computation and data-enabled science and engineering "at scale" in a variety of disciplines.

Raghavan currently serves on the editorial boards of the SIAM series on Computational Science and Engineering, the SIAM Series on Software, Environments and Tools, the Journal of Parallel and Distributed Computing, the Journal of Computational Science and the IEEE Transactions on Parallel and Distributed Systems. She serves on the program committees of major conferences sponsored by ACM, IEEE and SIAM, and she co-chaired Technical Papers for Supercomputing 2012 and the 2011 SIAM Conference on Computational Science and Engineering. Raghavan also serves on various advisory and review boards including the National Academies Panel on Digitization and Communication Science, the Network for Earthquake Engineering Simulation, and the Computer Research Association's Committee on the Status of Women in Computing Research. Raghavan is a Fellow of the IEEE and she received an NSF CAREER Award and the Maria Goeppert-Mayer Distinguished Scholar Award from the University of Chicago and the Argonne National Laboratory for her research on parallel sparse matrix computations.

  • Click here for Raghavan's complete CV (pdf).
  • Research

  • Scalable Parallel Algorithms - including scalable sparse solvers
  • Publications Click here     Funding Click here
  • Performance Modeling and Optimization - for measures including energy, resilience, and speed
  • Publications Click here     Funding Click here
  • Computational Science - including modeling, simulation and knowledge extraction
  • Publications Click here     Funding Click here
  • Recent Presentations Click here
  • Parallel Sparse Solver Software Click here
  • Research at the Scalable Computing Lab (SCL) Click here
  • Recent Professional Activities (Partial List)

  • Technical Papers Co-Chair, Supercomputing 2012 and Member, Program Committee (multiple years) and Chair, Doctoral Showcase (2009)
  • General Co-Chair, 2011 SIAM Conference on Computational Science and Engineering
  • Associate Editor, SIAM Journal of Scientific Computing SIAM SISC.
  • Associate Editor, Journal of Parallel and Distributed Computing JPDC.
  • Editorial Board Member, SIAM Book Series on Computational Science, SIAM CS.
  • Editorial Board Member, SIAM Book Series on Software, Tools and Environments SIAM SE.
  • Co-Editor, with M. H. Heroux,   and H. D. Simon,     Parallel Processing For Scientific Computing SIAM book series on Software, Tools, and Environments. For a recent review click here
  • Member, National Academies Panel on Digitization and Communication Science
  • Member. Executive Committee, Board of Directors Great Lakes Petascale Computing Consortium
  • Member, Program Committee, (multiple years), Vice Chair, Applications Track, 2014, International Parallel and Distributed Processing Symposium (IPDPS)
  • Education

    Recently Taught Courses (password protected)
  • CSE 557 Concurrent Scientific Computing
  • CSE 598F Advanced Scientific Computing
  • CSE 598C Sparse Matrix Computations
  • CS 455 Numerical Analysis I
  • CS 456 Numerical Analysis II
  • CSE 450 (457) Concurrent Scientific Computing