The project consortium of READEX works closely with an external advisory board (EAB). The EAB consists of experts and representatives from different domains such as industrial partners, end users, and regulation authorities.
Our idea is that by giving feedback on market needs and relevant developments the EAB will be able to further improve the READEX project. Therefore the EAB has two important functions:
- Providing feedback on project outcome in order to help READEX to meet the needs of European industry or to react on recent trends in HPC computing.
- Serving as dissemination channel for READEX results. It is the direct way to inform potential and interested industry and businesses about the project outcomes.
To ensure the contact with the EAB we will meet at least twice during the project duration using telephone conferences or impotent scientific conferences. Moreover, the EAB has direct access to the project outcomes. It is informed on progress, intermediate results and publications.
Members of the EAB
Between 1987 and 2000, he has headed several research domains in the area of high-level and system synthesis techniques and architectural methodologies. Since 2000 he is also strongly involved in other activities at IMEC including related application and deep submicron technology aspects, biomedical imaging and sensor nodes, and smart photo-voltaic modules, all at the Inter-university Micro-Electronics Center (IMEC), Heverlee, Belgium. Currently he is an IMEC fellow. He is part-time full professor at the EE department of the K.U.Leuven.
In 1986 he received the Young Scientist Award from the Marconi International Fellowship Council. He has been associate editor for several IEEE and ACM journals, like Trans. on VLSI Signal Procsesing, Trans. on Multi-media, and ACM TODAES. He was the program chair of several conferences including ISSS’97 and SIPS’01. He has been elected an IEEE fellow in 2005.
Bronis R. de Supinski
Bronis R. de Supinski is the Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL). In this role, he is responsible for formulating LLNL’s large-scale computing strategy and overseeing its implementation. His position requires frequent interaction with high performance computing (HPC) leaders and he oversees several collaborations with the HPC industry as well as academia.
Prior to becoming CTO for LC, Bronis led several research projects in LLNL’s Center for Applied Scientific Computing. His researched has focused on a wide range of topics related to large-scale computing. Bronis earned his Ph.D. in Computer Science from the University of Virginia in 1998 and he joined LLNL in July 1998.
In addition to his work with LLNL, Bronis is also a Professor of Exascale Computing at Queen’s University of Belfast and an Adjunct Associate Professor in the Department of Computer Science and Engineering at Texas A&M University.
Throughout his career, Bronis has won several awards, including the prestigious Gordon Bell Prize in 2005 and 2006, as well as an R&D 100 for his leadership of a team that developed a novel scalable debugging tool. He is a member of the ACM and the IEEE Computer Society.
Kirk W. Cameron
Kirk W. Cameron is Professor and Associate Department Head of Computer Science, and a Faculty Fellow in the College of Engineering at Virginia Tech. His research improves efficiency in high performance computing (HPC) systems and half a million people in more than 160 countries have used his power management software.
In 2015-2016, his educational, 256-node kinetic sculpture creation, SeeMore, has been a featured interactive exhibit at international events drawing nearly a million people including SIGGRAPH, the International Makers Faire, South by Southwest, and the U.S. National Science and Engineering Fair.
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 Electrical Engineering and 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; an Adjunct Professor in the Computer Science Department at Rice University; and a Faculty Fellow of the Texas A&M University’s Institute for Advanced Study. 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.
Prof. Dr. Dr. Thomas Lippert received his diploma in Theoretical Physics in 1987 from the University of Würzburg. He completed Ph.D. theses in theoretical physics at Wuppertal University on simulations of lattice quantum chromodynamics and at Groningen University in the field of parallel computing with systolic algorithms. He is director of the Jülich Supercomputing Centre at Forschungzentrum Jülich, member of the board of directors of the John von Neumann Institute for Computing (NIC), and he holds the chair for Computational Theoretical Physics at the University of Wuppertal. His research interests include lattice gauge theories, quantum computing, numerical and parallel algorithms, and cluster computing.
Michael M. Resch
- Director of the High Performance Computing Center Stuttgart (HLRS)
- Full Professor and director of the Institute for High Performance Computing
- Dean of the faculty for Energy- Process- and Biotechnology
His focus of research is on the application of supercomputers in engineering and industrial research as well as the scientific theory of simulation. He is leading projects in the fields of High Performance Computing, Cloud computing, visualization, scalable parallel algorithms, and philosophy of simulation. At the center of his research is the applicability of mathematical methods and computer science to real world problems.
Prof. Resch received an honorary professorship from the Russian Academy of Science in 2014 and honorary doctoral degrees from Donetsk National Technical University (2009) and the Russian Acad-emy of Science / Siberian Branch (2011).
Short biography and Picture is coming soon.