ISC
FELLOWS
FELLOWS
ISC Fellows are individuals who have contributed significantly to high performance computing, the community, and the ISC High Performance conference series.
President, European Open File System Association (EOFS)
Frank Baetke began his career as a researcher and academic advisor at the Technical University of Munich (TUM). He joined Convex Computer Corp. in 1986 as manager of S/W operations and in 1992 was promoted to its European Marketing Director. After the acquisition of Convex by HP in 1995 he joined HP’s worldwide marketing organization in the US as head of business development for the academic and scientific research segment. He also initiated and led the development and growth of HP/HPE’s worldwide HPC-user community HP-CAST. Since 2018 he has retired from HPE but remains active in HPC as president of the European Open File System Association (EOFS) https://www.eofs.eu/. He is a member of ACM and IEEE, the German Astronomical Society (AG), the Institute of Physics (IOP), the German Informatics Society (GI) and the Max Planck Society. He holds a master of science (Dipl.-Ing.) in engineering and a PhD (Dr.-Ing.) in applied physics and has published numerous contributions in the field of high-performance computing and related areas.
Distinguished Professor, Computer Science at University of Tennessee & Oak Ridge National Laboratory
Jack Dongarra is the recipient of the 2021 ACM A.M. Turing Award. ACM bestowed the award for Dongarra’s pioneering contributions to numerical algorithms and libraries that enabled high performance computational software to keep pace with the hardware improvements that have taken place over the last four decades.
Jack holds an appointment at the University of Tennessee, Oak Ridge National Laboratory, and the University of Manchester. He specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers. He was awarded the IEEE Sid Fernbach Award in 2004; in 2008 he was the recipient of the first IEEE Medal of Excellence in Scalable Computing; in 2010 he was the first recipient of the SIAM Special Interest Group on Supercomputing’s award for Career Achievement; in 2011 he was the recipient of the IEEE Charles Babbage Award; in 2013 he received the ACM/IEEE Ken Kennedy Award; and in 2019 he received the ACM/SIAM Computational Science and Engineering Prize. He is a Fellow of the AAAS, ACM, IEEE, and SIAM and a foreign member of the Russian Academy of Science, a foreign member of the UK Royal Society, a member of the US National Academy of Engineering, and a member of the US National Academy of Sciences.
ISC Fellow
Horst Gietl studied Mathematics and Information Technology at the Technical University in Munich (TUM). During his studies he received a scholarship from the German Academic Exchange Service (DAAD) at the ETH in Zuerich/Switzerland for 1 year. He holds a Master of Science (Dipl.-Math.) in Mathematics and a PhD (Dr. rer. nat.) from the Faculty of Mathematics at TUM. From 1974 he worked at the Leibniz Computing Centre in Munich in the application and support group for large technical/scientific application programs. During this time he was also leading a project of the German Research Organization named „Vectorization of numerical applications to get highest performance out of a vector processor”. He went on to join Siemens as a manager for the vector processor applications/support group in 1983, working with Fujitsu’s vector processors. In 1991 he assumed the role of Director for Product Marketing and Product Management at the parallel processor manufacturer NCUBE/US. In this position he was head of the support group for interactive multimedia projects and database projects in Europe and the Middle East.
Between 2006 and 2022 he lent his support to ISC Group as an Executive Consultant, where he was instrumental in continuously evolving the technical program of the ISC High Performance conference series.
Professor, Computer Engineering, Department of Computer Science, University of Hamburg
Karl Kaiser has been a professor of Computer Engineering (with focus on Industrial Data Processing and Autonomous Mobile Systems) at the Department of Computer Science of the University of Hamburg. He was also the dean of the department from 1985 – 1988 and the Director of the Regional Computing Center (RRZ) of the University of Hamburg from 1988 – 2010. Kaiser worked in civil engineering and taught at several German universities before his appointment in Hamburg. Kaiser had studied mathematics and civil engineering at the RWTH Aachen University and received a PhD (Dr.-Ing.) from the University of Bochum.
Professor at Sun Yat-Sun University & Director, National Supercomputing Center, Guangzhou & Shenzhen, China
Yutong Lu holds an appointment as a professor in the Department of Computer Science and Engineering at Sun Yat-Sun University, China. She also serves as the Director of the National Supercomputing Center in Guangzhou and Shenzhen.
Professor Lu specializes in high performance computing, which mainly include the design and application of advanced computer architectures, programming methods, and parallel computing environments. Her extensive research and development experience has spanned several generations of domestic supercomputers. She played a key role as the deputy chief designer of the Tianhe 2 supercomputer, which achieved the remarkable distinction of ranking No.1 in the world on the TOP500 List for six consecutive times. Throughout her career, she has been dedicated to bridging the gap between computing and various scientific disciplines. Her efforts have facilitated significant breakthroughs in climate modeling, bioinformatics, and materials science, among other fields. Her work has enhanced the performance and efficiency of supercomputers and made these powerful tools more accessible to a broader range of researchers and industry users.
Professor Lu has been recognized as ISC Fellow and CCF Fellow. She is a member of the Expert Committee of China’s National Key R&D Program. She has won several national awards for science and technology advancement and is currently leading several research projects under the support of the Ministry of Science and Technology and the National Natural Science Foundation. Prof. Lu’s ongoing research interests are focused on the cutting-edge next-generation architectures, as well as the convergence of advanced AI and HPC systems and applications.
Professor for Informatics at Universität Hamburg & Director of DKRZ in Hamburg, Germany
Thomas Ludwig received his doctoral degree and the German habilitation degree at the Technische Universität München, where he conducted research on HPC from 1988 to 2001. From 2001 to 2009 he had a chair for parallel computing at the Universität Heidelberg. Since 2009 he is the director of the German Climate Computing Centre (DKRZ) and professor at the Universität Hamburg. His research activity is in the fields of high volume data storage and energy efficiency. At DKRZ Prof. Ludwig takes the responsibility for accomplishing its mission: to provide high performance computing platforms, sophisticated and high capacity data management, and superior service for premium climate science.
Director, Riken Center for Computational Science (R-CCS), Japan
Satoshi Matsuoka has been the director of RIKEN Center for Computational Science (R-CCS) since 2018. He is responsible for developing the supercomputer Fugaku which was the fastest supercomputer in 2020, 2021 (Top500, HPCG, HPL-AI, Graph500). He has been conducting the cutting edge HPC research, including investigating Post-Moore era computing, especially Fugaku NEXT supercomputer.
He was the leader of the TSUBAME series of supercomputers at the Tokyo Institute of Technology, where he still holds a professor position.
Other accolades include the Fellow positions in societies/conferences ACM, ISC, JSSST and IPSJ; the ACM Gordon Bell Prizes in 2011 and 2021; IEEE-CS Sidney Fernbach Award in 2014; IEEE-CS Computer Society Seymour Cray Computer Engineering Award in 2022; Technical Papers Chair and Program Chair for SC09, SC13, and ACM Gordon Bell Prize committee chair in 2018. His longtime contribution for the computer science was commemorated with the Medal with Purple Ribbon in 2022.
Director of the Center for Information Services & High Performance Computing (ZIH), Technische Universität Dresden, Germany
Wolfgang E. Nagel is full professor of Computer Architecture at the Institute for Computer Engineering at Technical University (TU) Dresden. He graduated from RWTH Aachen University with a PhD, and has worked in the field of parallel programming since 1980s. He has published more than 100 papers in the areas of innovative computer architectures, efficient algorithms, modern programming concepts and software tools to support complex compute and data intensive applications. Nagel has been the dean of the Computer Science department at TU Dresden from 2006 to 2009.
Director ADIA Lab, Abu Dhabi & Adjunct Professor in the College of Engineering at the University of California, Berkeley
Since 2023, Horst Simon has been the director of ADIA Lab, an independent, Abu Dhabi-based laboratory dedicated to basic and applied research in data and computational sciences. Before, he was the Deputy Director of Lawrence Berkeley National Laboratory (Berkeley Lab). Simon’s research interests are in the development of sparse matrix algorithms, algorithms for large-scale eigenvalue problems, and domain decomposition algorithms for unstructured domains for parallel processing. His algorithm research efforts were honored with the 1988 and the 2009 Gordon Bell Prize for parallel processing research. He was also member of the NASA team that developed the NAS Parallel Benchmarks, a widely used standard for evaluating the performance of massively parallel systems. He is co-author of the biannual TOP500 list. He holds an undergraduate degree in mathematics from the Technische Universtät in Berlin and a Ph.D. in Mathematics from the University of California at Berkeley.
Professor, Department of Intelligent Systems Engineering, Director of AI Computing Systems Laboratory (AICSL) Luddy School of Informatics, Computing, and Engineering Indiana University
Thomas Sterling is a Full Professor of Intelligent Systems Engineering at Indiana University (IU) serving as Director of the AI Computing Systems Laboratory at IU’s Luddy School of Informatics, Computing, and Engineering. Since receiving his Ph.D from MIT as a Hertz Fellow in 1984, Dr. Sterling has engaged in applied research in parallel computing system structures, semantics, and operation in industry, government labs, and academia. Professional affiliations have included Harris Corp., IDA Supercomputing Research Center, NASA (GSFC, JPL), Un. of Maryland, Caltech, and LSU. Dr. Sterling is best known as the “father of Beowulf” for his pioneering research in commodity/Linux cluster computing for which he shared the Gordon Bell Prize in 1997. His current research is associated with innovative extreme scale computing through memory-centric non von Neumann architecture concepts to accelerate dynamic graph processing for AI including ML. In 2018, he co-founded the new tech company, Simultac LLC, and serves as its President and Chief Scientist. Dr. Sterling was the recipient of the 2013 Vanguard Award and is a Fellow of the AAAS. He has been selected this year to be inducted in the Space Technologies Hall of Fame. He is the co-author of seven books and holds six patents. Most recently, he co-authored the introductory textbook, “High Performance Computing”, published by Morgan-Kaufmann in 2018 which is going into 2nd edition.
Senior Scientist and Group Lead, Performance and Algorithms Research Group, Computational Research Division, Lawrence Berkeley National Laboratory, USA
Erich Strohmaier is a Senior Scientist and Group Lead of the Performance and Algorithms
Research group at the Lawrence Berkeley National Laboratory. His main interests are in
performance characterization, evaluation, modeling, and prediction for HPC systems and large scale scientific workflows. He is involved in the analysis of advanced-computer architectures and parallel programming paradigms, classification of kernels and programming patterns for scientific computational kernels. His recent work is on the analysis and optimization of data-intensive large scale scientific workflows and the application of machine learning for predicting their behavior and performance. He has a Dr. in Theoretical Physics from the University of Heidelberg, Germany. Strohmaier was awarded the 2008 ACM Gordon Bell Prize for parallel processing research in algorithmic innovation and was named a Fellow of the ISC Conference in 2017. He is a member of ACM, IEEE, and APS.