Biographies of the ISC 2023 speakers and chairs can be found here.
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.
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.
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.
Senior Computer Scientist, Scientific Data Division, Lawrence Berkeley National Laboratory (LBNL)
Suren Byna, ISC 2023 Tutorial Chair, is a 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.
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.
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.
Senior Business Development,
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.
Senior Research Scientist,
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.
Group leader Quantum Information
Processing group, JSC Jülich,
Professor of Quantum Information
Processing, RWTH Aachen University,
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.
Product Manager for HPC,
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.
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)
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.