Ewing “Rusty” Lusk is director of the Mathematics and Computer Science Division at Argonne National Laboratory and an Argonne Distinguished Fellow. He received his B.A. in mathematics from the University of Notre Dame in 1965 and his Ph.D. in mathematics from the University of Maryland in 1970. He was a professor of computer science at Northern Illinois University before joining Argonne in 1982. His current research interests include programming models for scalable parallel computing, implementation issues for the MPI Message-Passing Interface standard, parallel performance analysis tools, and system software for large-scale machines. He is the author of five books and more than a hundred research articles in mathematics, automated deduction, and parallel computing.
William Gropp is the Paul and Cynthia Saylor Professor in the Department of Computer Science and Deputy Directory for Research for the Institute of Advanced Computing Applications and Technologies at the University of Illinois in Urbana-Champaign. He received his Ph.D. in Computer Science from Stanford University in 1982 and worked at Yale University and Argonne National Laboratory. His research interests are in parallel computing, software for scientific computing, and numerical methods for partial differential equations, and he is well known for the MPICH2 and PETSc libraries.
Brock Palen and Jeff Squyres speak with Dr. Jack Dongarra and Dr. Jakub Kurzak on PLASMA (http://icl.cs.utk.edu/plasma/) Parallel Linear Algebra for Scalable Multi-core Architectures. The main purpose of PLASMA is to address the performance shortcomings of the LAPACK and ScaLAPACK libraries on multicore processors and multi-socket systems of multicore processors.
Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee and holds the title of Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow at Manchester University, and an Adjunct Professor in the Computer Science Department at Rice University. He is the director of the Innovative Computing Laboratory at the University of Tennessee. He is also the director of the Center for Information Technology Research at the University of Tennessee which coordinates and facilitates IT research efforts at the University.
Jakub Kurzak received his M.Sc. degree in Electrical Engineering from Wrocław University of Technology, Poland, in 2000 and a Ph.D. degree in Computer Science from the University of Houston, Texas, in 2005. Afterwards, he joined the Innovative Computing Laboratory in the EECS Department, University of Tennessee, as a Senior Research Associate and is now a Research Scientist in that laboratory. His research focuses on the development of parallel software for numerical scientific computing, with an emphasis on multicore processors and accelerators. He is a member of the team behind ICL's flagship projects, PLASMA and MAGMA.
Brock Palen and Jeff Squyres speak with Hai Ah Nam of Oak Ridge, Tiki Suarez-Brown of Florida A&M, and Doug Smith of The University of Colorado about the Student Cluster Competition at Super Computing 2010.
Tiki L. Suarez-Brown, Ph.D. is an Associate Professor within the Information Systems and Operations Management Department, School of Business and Industry at Florida A&M University. Her research interests include Management Information Systems, Collaborative Environments, and High Performance Computing. Dr. Suarez-Brown served as the Broader Engagement (BE) Program chair for the ACM/IEEE SuperComputing (SC)09 conference, which was held in Portland, Oregon November 2009. The Broader Engagement Program strives to identify and involve individuals from under-represented communities who have an interest in high performance computing. Over 90 individuals participated in the SC09 BE program in Portland, OR. Dr. Suarez-Brown currently serves as the SC10 Student Cluster Challenge Communities Chair, which will be held in New Orleans, LA. The Student Cluster Competition (SCC) showcases next‐generation high‐performance computing talent harnessing the incredible power of current‐generation cluster hardware. In this real‐time challenge, teams of six undergraduate and/or high school students assemble a small cluster of their own design on the SC exhibit floor and race to correctly complete the greatest number of application runs during the competition period. The winning team will be chosen based on workload completed, benchmark performance, and overall knowledge of the applications. Additional awards will be given for the most power-efficient design and fan-favorite.
Hai Ah Nam is a research scientist in the Scientific Computing Group within the National Center for Computational Sciences (NCCS) at ORNL, and a member of the Physics division. She specializes in theoretical low-energy nuclear physics and high performance computing. Prior to joining ORNL in 2008, Hai Ah worked with Lawrence Livermore National Laboratory in conjunction with her doctoral work where she studied the structure of atomic nuclei using the ab initio no-core shell model. Her current work involves developing and scaling several theoretical nuclear models, including monte carlo methods, shell model, coupled-cluster, and density functional theory for frontier scientific calculations on the leadership class supercomputers at ORNL. Hai Ah will receive her PhD in Computational Science through the joint doctoral program at San Diego State University and Claremont Graduate University in 2010. She received her M.S. in Physics from Carnegie Mellon University in 1999 and B.A. in Physics from Scripps College in 1997.
Jed Brown is a PhD student at ETH Zürich, working on solvers for ice sheet dynamics. His research interests are in scalable solvers for unstructured high-order discretizations of indefinite and multirate problems. He has been using PETSc since 2004 and contributing regularly for the past year.
Matthew G. Knepley received his B.S. in Physics from Case Western Reserve University in 1994, an M.S. in Computer Science from the University of Minnesota in 1996, and a Ph.D. in Computer Science from Purdue University in 2000. He was a Research Scientist at Akamai Technologies in 2000 and 2001. Afterwards, he joined the Mathematics and Computer Science department at Argonne National Laboratory (ANL), where he was an Assistant Computational Mathematician, and a Fellow in the Computation Institute at University of Chicago. In 2009, he joined the Computation Institute as a Senior Research Associate. His research focuses on scientific computation, including fast methods, parallel computing, software development, numerical analysis, and multicore architectures. He is an author of the widely used PETSc library for scientific computing from ANL, and is a principal designer of the PetFMM and PetRBF libraries, for the parallel fast multipole method and parallel radial basis function interpolation. He was a J.~T. Oden Faculty Research Fellow at the Insitute for Computation Engineering and Sciences, UT Austin, in 2008, and won the R&D 100 Award in 2009 as part of the PETSc team.
David van der Spoel is a professor in Computational Molecular Biophysics at the university of Uppsala, Sweden. He received his Ph.D. in 1996 from the university of Groningen in the Netherlands, under the supervision of Prof. Herman Berendsen. Since 1997 he is associated with Uppsala University. He is one of the lead developers of the GROMACS molecular simulation software and has been involved in software development for high-performance computing for more than two decades. His research interests are in automated development of models for molecular simulations, and studies of proteins under non-physiological conditions, most notably in the gas-phase. He is also involved in development of web-services for molecular modeling.
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Brock Palen and Jeff Squyres speak with Dr. Bill Gropp of University of Illinois Urbana-Champaign Urbana and Dr. Richard Graham of ORNL (Oak Ridge National Lab) on the MPI Forum, MPI-2.2 and the upcoming MPI-3 standards for parallel programming with MPI.
William Gropp is the Paul and Cynthia Saylor Professor in the Department of Computer Science and Deputy Directory for Research for the Institute of Advanced Computing Applications and Technologies at the University of Illinois in Urbana-Champaign. He received his Ph.D. in Computer Science from Stanford University in 1982 and worked at Yale University and Argonne National Laboratory. His research interests are in parallel computing, software for scientific computing, and numerical methods for partial differential equations, and he is well known for the MPICH2 and PETSc libraries.
Richard Graham has been at ONRL since Jan, 2007 and is the Group Leader for the Application Performance Tools group in the Computer Science and Mathematics division at ONRL, and is a Distinguished member of the Research Staff. Prior to joining ORNL he spent eight years at ORNL serving in a range of technical and managerial roles, leaving as the acting group leader for the Advanced Computing Laboratory. He is currently chairman of the MPI Forum, and is leading the MPI-3 effort. He led the LA-MPI development effort, and is one of three founders of the Open MPI project. Dr. Graham received his PhD in Theoretical Chemistry from Texas A&M University in 1990, and a BS in Chemistry from Seattle Pacific University in 1983.
Be sure to catch Jeff and Brock at SC09 this year in Portland!
Mark received his Ph.D. from U.C. Davis in EE with emphasis on compression of very large datasets for real-time signal processing. I started at LLNL in May of 1995 working on I/O analysis of Silo. From there, I became involved in the ASCI Data Models and Formats effort leading the development of the Sets and Fields (SAF, pronounced 'safe') data modeling system where I also became involved in scalable, parallel I/O. Then, I moved to VisIt, adding scalable rendering as my first major enhancement. Since then, I have been working about 50-75% time on VisIt, 25% time on Silo and, more recently, on ITAPS SciDAC project.
There will be no show this period. Both Jeff and I have been very busy. We will be back with another show soon on Silo (https://wci.llnl.gov/codes/silo/). Also checkout the old shows, iTunes only shows the last few shows, but all of our old shows are still available, so those of you who are new listeners catchup on what we have been up to.
Also please nominate any topics you would like to hear about. We do not limit to software projects, hardware or topic discussions/round tables are open also, so please let us know!
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