- Scott Baden
- has research interests in large scale scientific computation: parallel algorithms, adaptive data structures, run time performance optimization, and data centric algorithms. He directs the Scientific Computation Group in the Computer Science and Engineering Department located at the University of California San Diego.
- Björn Engquist
- is professor in mathematics at University of Austin, Texas. Formerly, he has had similar positions at Princeton University and the University of California, Los Angeles. Professor Engquist is also a professor of Numerical Analysis and Computing Science at the Royal Institute of Technology in Stockholm (KTH) since 1992. He received his B.S. in 1966 and the Ph.D. in 1975 from Uppsala University, Sweden. Between 1966 and 1985, he held positions at the Courant Institute, the University of California at Berkeley, Stanford University, and Uppsala University. He is the chairman of KTH Center for Computational Science and Engineering and former director of Parallel and Scientific Computing Institute (PSCI) at KTH and Uppsala University and the Center for Parallel Computers (PDC), KTH. His principal research interests are the mathematics and algorithms of scientific computing.
- Dr. Thomas Ericsson
- is working at Chalmers University of Technology. He is an expert in high-performance computing and numerical analysis, in particular in numerical linear algebra.
- Erik Hagersten
- Uppsala University, teaches courses in computer architecture. His research focus is "Increase data processing speed through adopting architectures and [coherent] data replication." He works in both academia and industry in Sweden and the US, and has initiated a collaborative research program between Uppsala University and Sun's Engineering in the U.S.
- Mike Hammill
- PDC, has been working as a consultant, teacher, and coordinator in high-performance computing since 1984. Before coming to PDC, he was coordinating the national high-performance consulting program ("Smart Nodes") at the Cornell Theory Center, Cornell University, USA.
- Michael Hanke
- has been a university lecturer and docent at KTH since 1998. He
received his Ph.D. in Mathematics from Humboldt University of
Berlin and has lectured in a variety of universities throughout the
world, including the Computing Center of the Academy of Sciences of
the USSR (Russia), Johannes Kepler University (Austria), University
of Zaragoza (Spain), and University of Pittsburgh (USA). He has
also worked in industry as a Scientific Consultant for Comsol AB and UTRC in East Hartford, Connecticut,
Michael's Scientific Interests include analysis and numerical methods for differential-algebraic equations, partial differential-algebraic systems, and numerical approximation of equations from semiconductor physics.
- Docent Sverker Holmgren
- received a Ph.D. in Numerical Analysis from Uppsala University in 1993. Since 2006, Holmgren is the Director of the Swedish National Infrastructure for Computing (SNIC). SNIC is the national computing infrastructure initiative within the Swedish Research Council, with a mandate to provide high performance computing, grid and large-scale storage resources for academia in Sweden and to coordinate development activities in these areas. Holmgren is also the chairman for the Swedish National Graduate School in Scientific Computing (NGSSC). Since 2007, Holmgren is the Head of the Uppsala University program in Computational Science and Engineering, where he leads several research projects in CSE and large-scale computing.
- Martin Ingvar
- holds the Barbro and Bernard Osher Professor of Integrative Medicine. He is chairman of the Department of Clinical Neurosceince, Karolinska Institutet and Co-PI of Stockholm Brain Institute. His main research interest is the mechanisms of cortical control in the human brain. Modeling is of growing importance for the development of this research area.
- Niclas Jansson
- is a Ph.D. student in numerical analysis at CSC, KTH since 2008, and received an M.S. degree in computer science from KTH in 2008. His research is focused on parallel adaptive finite element methods.
- Lennart Johnsson
- is the Hugh Roy and Lillie Cranz Cullen Distinguished Professor
of Computer Science, Mathematics, and Electrical and Computer
Engineering at the University of Houston.
He received his M.S. degree in engineering physics in 1967 and the Ph.D. degree in Control Engineering in 1970 from Chalmers Institute of Technology, Gothenburg, Sweden. At ASEA AB (now ABB), from 1971 to 1979, he led the development of real-time supervisory data acquisition and control systems for electric utilities and process industries. He was on the faculty of Caltech from 1979 to 1983, where he initiated a course in parallel scientific computation, taught VLSI design, and did research in parallel algorithms and VLSI design. From 1983 to 1990, he was an associate professor of Computer Science and of Electrical Engineering at Yale University, where he introduced courses in parallel scientific computation and also in computer arithmetic. He also led the research effort that resulted in the acquisition of the first Connection Machine at a university after MIT. He was Gordon McKay Professor at Harvard University from 1990 to 1997.
From 1986 to 1995, Johnsson also served as the director of Computational Sciences at Thinking Machines Corporation and was responsible for the development of the Connection Machine Scientific Software Library (CMSSL) as well as parts of the Connection Machine Run-Time System (CMRTS). Since 1995, he has been Cullen Distinguished Professor of Computer Science, Mathematics, and Electrical and Computer Engineering at the University of Houston; an adjunct professor of Computer Science at Rice University; and a visiting professor of Computing Sciences and Numerical Analysis at the Royal Institute of Technology, Stockholm. He also serves as the director of both the Texas Learning and Computation Center at the University of Houston and the Houston Area Computational Science Consortium. Johnsson serves on the executive board of the W. M. Keck Center for Computational Biology in Houston and the Los Alamos Computer Science Institute; he is chair of the PDC External Advisory Committee and the Swedish National Allocations Committee for High-Performance Computation; and he is the editor of seven journals.
- Erwin Laure
- is the director of PDC-HPC. Before joining PDC in 2008 he was the Technical Director of the EU funded project "Enabling Grids for E-Science in Europe (EGEE)" working at the European Organization for Nuclear Research (CERN). After joining CERN in 2002 he worked on data management issues within the EU DataGrid (EDG) project, became the Technical Coordinator of EDG, and coordinated the middleware re-engineering activities in the first phase of EGEE. He holds a PhD in Business Administration and Computer Science from the University of Vienna, Austria. His research interests include grid computing with a focus on data management in grid environments as well as programming environments, languages, compilers and runtime systems for parallel and distributed computing.
- Dag Lindbo
- is a Ph.D. student in numerical analysis at CSC, KTH since 2007, and received an M.S. degree in engineering physics from KTH in 2006. He has been involved as a tutor in the PDC summer course since 2007.
- Elisabet Molin
- received a M.Sc. in Applied Physics and Electrical Engineering at Linköping University in 2002. Developing and assessing computational models of physical phenomena has enabled her to participate in research projects at both CERN, KTH and KI. Joining PDC in 2008, she brings a prospective user's perspective in combination with an interest and experience in teaching.
- Philip Mucci
- is a computer scientist currently on sabbatical at the Center for Parallel Computers (PDC) at the Royal Institute of Technology in Stockholm, Sweden. He is employed by the Innovative Computing Laboratory (ICL), Dr. Jack Dongarra's group in the Computer Science Department of the University of Tennesse and one of the 6 state funded Tennessee Centers of Excellence. His research interests lay largely in the areas of performance evaluation, analysis and optimization of high-end technical compute platforms. Philip earned his B.A. in Computer Science from The Johns Hopkins University in 1993 and he earned his M.S. in Computer Science from University of Tennessee in 1998.
- Jesper Oppelstrup
- is an assistant professor in the Department of Numerical Analysis and Computing Science (NADA) at KTH. He received an M.S. degree in 1969 in engineering physics, and the Ph.D. degree in numerical analysis in 1976, both at KTH. He was a research project manager at the Swedish Institute of Applied Mathematics from 1977 to 1985, and he has worked in commercial development of finite element software since 1984. He began working at KTH in 1985, and he is currently an assistant professor in numerical analysis. Oppelstrup is engaged in the development of high-performance computing resources and industry/academic collaborative research in high-performance computing and mathematical modeling, especially for fluid dynamics and electromagnetics. He is a member of the national supercomputer resource allocation committee, he is on the Program Board of the Parallel and Scientific Computing Institute at KTH, and he is a member of the Swedish Society of Mathematicians.
- Tomas Oppelstrup
- is a Ph.D. student in numerical analysis at CSC, KTH since 2004, and received an M.S. degree in engineering physics from KTH in 2003. He has done a large part of his Ph.D. research at the Lawrence Livermore National Laboratory in California. His research is focused on diffusion in glasses, and consists to a large extent of long time molecular dynamics simulations. The group has recently taken interest in using graphics cards to speed up the computations, and has developed a molecular dynamics simulation code for graphics card computation.
- Nils Smeds
- Nils Smeds, works in the IBM World Wide Coordinated Tuning Team where he mainly works on high performance computing applications on IBM power systems. He is a former staff member of PDC and has been working with high performance computing as a visiting scientist at University of New South Wales, Australia, Barcelona Polytechnical University and IBM Watson Research Center.
- Olav Vahtras
- received a MS degree in engineering physics in 1988 and PhD in quantum chemistry in 1993, both at Uppsala University. His work at the Minnesota Supercomputer Institute 1993-1994 as a post-doc, and at Linköping University as a research associate 1994-1999 has included research on molecular properties and electronic structure theory. He now works at PDC as an application specialist in the field of computational chemistry.