Biographies

Marc Baboulin
Professor of Computer Science and Applied Mathematics at Université Paris-Saclay, France

Marc Baboulin, ISC 2023 Proceedings Chair, is Professor of Computer Science and Applied Mathematics at Université Paris-Saclay, France. His research activity is in numerical linear algebra, high-performance computing and quantum computing. He has been a visiting scientist in Jack Dongarra's group at University of Tennessee, USA, and he contributed to several HPC libraries (e.g., MAGMA), introducing innovative randomized algorithms for linear systems and least squares problems. He held the INRIA/Université Paris-Sud Excellence Research Chair (2010-2015). He was chair of the Computer Science Department at Polytech Paris-Saclay (2013-2021), head of the HPC research group at ''Laboratoire de Recherche en Informatique'' (2012-2020) and director of the laboratory ''Maison de la Simulation'' (2021-2022). Marc Baboulin is also member of the Executive Committee of the Quantum Paris-Saclay Center and he is involved in the french national quantum initiative.

Rosa Badia
Manager of the Workflows & Distributed Computing research group, Barcelona Supercomputing Center (BSC), Spain

Rosa M. Badia, ISC 2023 Jack Dongarra Early Career Award Committee member, holds a PhD on Computer Science (1994) from the Technical University of Catalonia (UPC). She is the manager of the Workflows and Distributed Computing research group at the Barcelona Supercomputing Center (BSC, Spain) Her research has contributed to parallel programming models for multicore and distributed computing. The research group focuses on PyCOMPSs/COMPSs, a parallel task-based programming distributed computing, and its application to the development of large heterogeneous workflows that combine HPC, Big Data, and Machine Learning. The group is also doing research around the dislib, a parallel machine learning libray parallelized with PyCOMPSs. Dr Badia has published near 200 papers in international conferences and journals on the topics of her research. She has been very active in projects funded by the European Commission in contracts with industry. She is the IP of the EuroHPC project eFlows4HPC.

Amanda Bienz
Assistant Professor at the University of New Mexico

Amanda Bienz, ISC 2023 Workshop Chair, is an Assistant Professor at the University of New Mexico.  Her research lies at the intersection of High Performance computing and Scientific Computing with interesting including scalable parallel algorithms, sparse matrix operations, iterative and multigrid methods, performance modeling, and data movement optimizations, particularly on emerging high performance and heterogeneous architectures.  Her overarching goal is to improve the performance of parallel applications, from numerical simulations to neural networks, allowing for applications to take full advantage of future exascale systems.

Abhinav Bhatele
Associate Professor in Department of Computer Science and Director of the Parallel Software and Systems Group, University of Maryland, College Park

Abhinav Bhatele, ISC 2023 Research Paper Chair, is an associate professor in the department of computer science, and director of the Parallel Software and Systems Group at the University of Maryland, College Park. His research interests are broadly in systems and networks, with a focus on parallel computing and large-scale data analytics. He has published research in parallel programming models and runtimes, network design and simulation, applications of machine learning to parallel systems, parallel deep learning, and on analyzing/visualizing, modeling and optimizing the performance of parallel software and systems. Abhinav has received best paper awards at Euro-Par 2009, IPDPS 2013 and IPDPS 2016. He was selected as a recipient of the IEEE TCSC Young Achievers in Scalable Computing award in 2014, the LLNL Early and Mid-Career Recognition award in 2018, and the NSF CAREER award in 2021.

Abhinav received a B.Tech. degree in Computer Science and Engineering from I.I.T. Kanpur, India in May 2005, and M.S. and Ph.D. degrees in Computer Science from the University of Illinois at Urbana-Champaign in 2007 and 2010 respectively. He was a post-doc and later computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory from 2011-2019. Abhinav is an associate editor of the IEEE Transactions on Parallel and Distributed Systems (TPDS). He is one of the General Chairs of IEEE Cluster 2022, and Research Papers Chair of ISC 2023.

Are Magnus Bruaset
Research Director for Software Engineering and High Performance Computing, Simula Research Laboratory, Norway

Are Magnus Bruaset, ISC 2023 Project Poster Chair, is Research Director for Software Engineering and High Performance Computing at Simula Research Laboratory in Norway, where he also leads the national research infrastructure for experimental HPC research, the Experimental Infrastructure for Exploration of Exascale Computing (eX3). He is also a member of EuroHPC’s Research and Innovation Advisory Group (RIAG). During his service at Simula, he has been instrumental to the establishment and operation of several strategic initiatives in research and education, such as a transatlantic PhD program between Norway and the US, as well as large-scale, long-term research collaborations with high-profiled industry. His scientific expertise is in applied mathematics with emphasis on numerical solution of physics-based models, and in particular the realization of such modeling tools in terms of flexible and efficient software. This research has included seminal contributions to how scientific computing can benefit from object-oriented programming without sacrifice of computational efficiency. Bruaset’s work has to a considerable extent taken place the interface between research and industry, and he has held leading positions in two research-based, commercial companies as CTO and CEO, respectively.

Suren Byna
Professor, Department of Computer Science and Engineering (CSE), The Ohio State University

Suren Byna, ISC 2023 Tutorial Chair, is a Professor in the Department of Computer Science and Engineering (CSE) at The Ohio State University. Prior to joining OSU, he was Senior Computer Scientist in the Scientific Data Division at Lawrence Berkeley National Laboratory (LBNL). His research interests are in scalable scientific data management, particularly focusing on optimizing parallel storage and I/O performance and on developing systems for managing scientific data. He leads the Exascale Computing Project (ECP) funded ExaHDF5 and ExaIO projects, and Department of Energy (DOE) funded object-centric data management systems (Proactive Data Containers - PDC), and experimental and observational data management (EOD-HDF5) projects. Suren has been working at LBNL since November 2010.

Laura Carrington
President and co-founder
of EP Analytics

Laura Carrington, ISC 2023 Track Chair Parallel Programming & Performance Modelling, is President and co-founder of EP Analytics, which provides expertise and software tools for application-focused performance analysis and optimizations of High-Performance Computing (HPC) codes. Dr. Carrington is an internationally recognized HPC expert with over 60 publications on HPC benchmarking, analysis of accelerators (GPUs and FPGAs) for HPC workloads, increasing the accessibility and performance of HPC-in-the-cloud and development of tool-based solutions for performance analysis. She has presented at numerous invited talks and is a member of various panels and committees in the community.

Jack Dongarra
Distinguished Professor,
Computer Science at
University of Tennessee &
Oak Ridge National Laboratory

Jack Dongarra, ISC Fellow, 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, and a member of the US National Academy of Engineering.

Marta Garcia Gasulla
Activity Leader, Computer Science Department, Barcelona Supercomputing Center (BSC)

Marta Garcia-Gasulla, ISC 2023 BoF Chair, is an activity leader at the Computer Science department of the Barcelona Supercomputing Center (BSC), which she joined in 2006. She obtained her PhD in Computer Architecture from Universitat Politecnica de Catalunya (UPC) in 2017. Her research interest includes load balancing, parallel programming models, performance analysis, and optimization.

Currently, she co-leads the BSC's Best Practices for Performance and Productivity (BePPP) activity group. With BePPP, she aims to bridge the gap between scientific domain researchers and computer scientists researchers. Promoting best practices for programmers to productively (re)structure their codes in ways that can result in high efficiency and portability. She also captures the fundamental co-design input to be forwarded to the appropriate system software or architecture team to target their developments in the most helpful direction. This goal is materialized through collaborations with standardizing bodies, like the OpenMP language committee or European flagship projects like the European Processor Initiative and several European HPC Centers of Excellence.

Tom Gibbs
Senior Business Development,
NVIDIA

Tom Gibbs, ISC 2023 Track Chair Machine Learning, is currently responsible for strategy and implementation of programs to enable and promote developers to take full advantage of advanced accelerator architectures using conventional algorithms as well as ML/AI. Tom brings 40 years of experience with advanced technology and high performance computing, and has applications expertise in industries ranging from Aerospace to General Science including High Energy Physics, Healthcare, Life sciences, Energy and Financial Services. Prior to NVIDIA Tom held multiple senior management positions for early stage cloud startup companies, where helped raise multiple early stage venture funding. He spent 15 years with the Intel Corporation, where he managed a global team which led innovation programs at CERN, NCSA, British Petroleum and Morgan Stanley as Director of Strategy and Architecture in the Solutions Group. Tom was a past Chairman of the Open Grid Forum and a member of the Center for Excellence in Supply Chain Management at MIT.

Horst Gietl
Executive Consultant at ISC-Group

Horst Gietl, ISC Fellow, 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.

Laura Grigori
Senior Research Scientist,
INRIA, France

Laura Grigori, ISC 2023 Track Chair Applications & Algorithms, is a senior research scientist at INRIA in France, where she is leading Alpines group, a joint group between INRIA and J.L. Lions Laboratory, Sorbonne University, in Paris. She is chair of PRACE Scientific Steering Committee, a member of SIAM Council since January 2018, the recipient of an ERC Synergy Grant, and a SIAM Fellow. Her field of expertise is in numerical linear, multilinear algebra, and high performance scientific computing. For her work on communication avoiding algorithms She was awarded with her co-authors the SIAM Siag on Supercomputing Best Paper Prize 2016 for the most outstanding paper published in 2012-2015 in a journal in the field of high performance computing. She was the Program Director of the SIAM special interest group on supercomputing, January 2014 - December 2015, then the Chair of this interest group, January 2016 - December 2017.

James Lin
Vice Director High-Performance Computing Center, Shanghai Jiao Tong University, China

Dr. James Lin, ISC 2023 HPC in Asia-Pacific Chair, co-founded the High-Performance Computing Center at Shanghai Jiao Tong University in 2012 and has served as the vice director since then. The center is one of the leading university-level supercomputer centers in China, with the fastest supercomputer Siyuan-1 (6PFlops) and the largest HPC team (30+ members) of any university in China.

His current research interests include performance analysis at the microarchitecture level for emerging many-core processors, and large-scale applications on supercomputers. He has published more than 30 papers on these topics. He has served on the steering committee of IEEE CLUSTER (2020-) and the standing committee of CCF TCHPC (2020-). Additionally, he has served as a TPC member and reviewer for many HPC conferences and journals, including SC, IPDPS, and Transaction on Computers (TC). He is a senior member of the ACM and CCF.

In 2002, he earned a BS degree in Computer Science from Zhejiang University, and in 2005, a MS degree in Computer Science from Shanghai Jiao Tong University. In 2018, he was awarded a PhD in mathematics and computing science from Tokyo Institute of Technology, under the supervision of Prof. Satoshi Matsuoka.

Satoshi Matsuoka
Professor, Global Scientific
Information & Computing Center,
Tokyo Institute of Technology, Japan

Satoshi Matsuoka, ISC Fellow, became the director of Riken CCS, the top-tier HPC center that represents HPC in Japan, in April 2018. Riken CCS currently hosts the K Computer and is developing the next generation Post-K machine. He was the leader of the TSUBAME series of supercomputers at Tokyo Institute of Technology, where he still holds a Professor position, to continue his research activities in HPC, scalable Big Data and AI.
He has been a Full Professor at the Global Scientific Information and Computing Center (GSIC), Tokyo Institute of Technology since 2000, as well as the director of the joint AIST-Tokyo Tech.

He received his Ph. D. from the University of Tokyo in 1993. Matsuoka has written over 500 articles according to Google Scholar. He is a Fellow of the ACM and ISC High Performance, and has won many awards, including the JSPS Prize from the Japan Society for Promotion of Science in 2006, presented by his Highness Prince Akishino; the ACM Gordon Bell Prize in 2011; the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in 2012; the 2014 IEEE-CS Sidney Fernbach Memorial Award, the highest prestige in the field of HPC; and recently the HPDC 2018 Achievement Award from ACM.

Kristel Michielsen
Group leader Quantum Information
Processing group, JSC Jülich,
Professor of Quantum Information
Processing, RWTH Aachen University,
Germany

Kristel Michielsen, ISC 2023 Track Chair Quantum Computing, is group leader of the Quantum Information Processing group at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich and Professor of Quantum Information Processing at RWTH Aachen University. Kristel Michielsen and her group have ample experience in performing large-scale simulations of quantum systems. With her group and a team of international collaborators, she set the world record in simulating a quantum computer (QC) with 48 qubits. In 2019, she participated in a research collaboration that proved Google’s quantum supremacy. She is building up the Jülich UNified Infrastructure for Quantum computing (JUNIQ) at the JSC. Her research interests range from classical simulations of electrodynamics and quantum mechanics to quantum computing and quantum computing architectures.

Daniel Reed
Presidential Professor in Computational Science, University of Utah

Daniel A. Reed is the Presidential Professor in Computational Science at the University of Utah, where he previously served as Senior Vice President for Academic Affairs (Provost). He has served in a variety of senior academic and industry roles, including as Vice President for Research and the University of Iowa and as Microsoft’s Corporate Vice President for Technology Policy and Extreme Computing. Before joining Microsoft, he was the founding director of the Renaissance Computing Institute (RENCI) at the University of North Carolina at Chapel Hill and Director of the National Center for Supercomputing Applications (NCSA) at the University of Illinois. Dr. Reed is currently chair of the U.S. National Science Board (NSB), which provides oversight for the U.S. National Science Foundation. He has served as a member of the U.S. President’s Council of Advisors on Science and Technology (PCAST) and the U.S. President’s Information Technology Advisory Committee (PITAC). Dr. Reed was the past chair of the Board of Directors of the Computing Research Association (CRA), which represents PhD-granting computer science departments in North America. As chair of CRA, he was one of the co-founders of the Computing Community Consortium (CCC) and was responsible for envisioning new ideas on computing research. Dr. Reed is a Fellow of the ACM, the IEEE, and the AAAS. He received his B.S. from Missouri
University of Science and Technology and his M.S. and Ph.D. from Purdue University, all in computer science.

Stephan Schenk
Product Manager for HPC,
BASF, Germany

Stephan Schenk, ISC 2023 Track Chair Applications & Algorithms, is the Product Manager for High Performance Computing at BASF SE in Ludwigshafen, Germany. He made his first contact with HPC during his studies in chemistry in 2000. He remained in this field obtaining a PhD in Computational Chemistry in 2006. After a postdoctoral stay at ETH Zurich, he joined BASF in 2010. He currently heads the team providing the supercomputer platform QURIOSITY that empowers BASF colleagues to leverage HPC to rapidly turn data into successful innovation and insights. He is also a member of the Scientific Council of the John von Neumann Institute for Computing (NIC) and serves as a deputy chairman of the High Performance Computing and Quantum Computing working group at Bitkom, Germany’s digital association. His interest focuses on democratization of HPC across businesses and leveraging the highly innovative technologies of next generation computing, especially Quantum Computing.

Estela Suarez
Professor for High Performance Computing at the University of Bonn

Estela Suarez, ISC 2023 Research Poster Chair, is research group leader at the Jülich Supercomputing Centre, which she joined in 2010. Since 2022 she is also Professor for High Performance Computing at the University of Bonn. Her research focuses on HPC system architectures and codesign. As leader of the DEEP project series she has driven the development of the Modular Supercomputing Architecture, including hardware, software and application implementation and validation. Additionally, she leads the codesign and validation efforts within the European Processor Initiative. She holds a PhD in Physics from the University of Geneva (Switzerland) and a Master degree in Astrophysics from the University Complutense of Madrid (Spain)

Michela Taufer
Jack Dongarra Professor in High Performance Computing, The University of Tennessee, Knoxville

Michela Taufer, ISC 2023 Program Deputy Chair, is an ACM Distinguished Scientist and holds the Jack Dongarra Professorship in High Performance Computing in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville (UTK). She earned her undergraduate degrees in Computer Engineering from the University of Padova (Italy) and her doctoral degree in Computer Science from the Swiss Federal Institute of Technology or ETH (Switzerland). From 2003 to 2004 she was a La Jolla Interfaces in Science Training Program (LJIS) Postdoctoral Fellow at the University of California San Diego (UCSD) and The Scripps Research Institute (TSRI), where she worked on interdisciplinary projects in computer systems and computational chemistry.

Michela has a long history of interdisciplinary work with scientists. Her research interests include software applications and their advance programmability in heterogeneous computing (i.e., multi-core platforms and GPUs); cloud computing and volunteer computing; and performance analysis, modeling and optimization of multi-scale applications. She has been serving as the principal investigator of several NSF collaborative projects. She also has significant experience in mentoring a diverse population of students on interdisciplinary research. Michela's training expertise includes efforts to spread high-performance computing participation in undergraduate education and research as well as efforts to increase the interest and participation of diverse populations in interdisciplinary studies.