Participants

RAPIDS Leadership

Rob Ross is the director for RAPIDS. He is a Senior Computer Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory. His interests include the design, implementation, and deployment of complex distributed systems in service of simulation, data, and learning applications in the sciences.

Lenny Oliker is the deputy director for RAPIDS. He is a Senior Computer Scientist in the Computational Research Division at Lawrence Berkeley National Laboratory. His research interests include optimization of scientific methods, performance evaluation, autotuning, domain-optimized computational architectures, and large-scale genome assembly.

Anshu Dubey is the Application Engagement lead for RAPIDS. She is a Computer Scientist at Argonne National Laboratory, and a Senior Fellow of the Computation Institute, University of Chicago. Her research interests include multiphysics scientific software, adaptive mesh refinement and software engineering for scientific software.

Sam Williams is the Application Engagement co-lead for RAPIDS. He is a Staff Scientist in the Computational Research Division at the Lawrence Berkeley National Laboratory. His research interests include performance optimization, performance modeling, computer architecture, and high-performance, scalable linear solvers.

Dmitriy Morozov is the Data Understanding lead for RAPIDS. He is a research scientist in the Data Analytics and Visualization group at Lawrence Berkeley National Laboratory. His research interests include computational geometry, topology, and high-performance computing.

Prasanna Balaprakash is the Data Understanding co-lead for RAPIDS. He is Computer Scientist at Argonne National Laboratory and a Fellow in the Computation Institute of the University of Chicago and in the Northwestern-Argonne Institute of Science and Engineering of the Northwestern University. His research interests span the areas of artificial intelligence, machine learning, optimization, and automatic application performance modeling and tuning. For more information see www.mcs.anl.gov/~pbalapra

Jeffrey Vetter is the Platform Readiness lead for RAPIDS. He is a Distinguished R&D Staff Member and the group leader of the Future Technologies Group at Oak Ridge National Laboratory. His research interests are emerging architectures and programming systems to enable their use.

Paul Hovland is the Platform Readiness co-lead for RAPIDS. He is a Senior Computer Scientist and Deputy Division Director for the Mathematics and Computer Science Division at Argonne National Laboratory. His research focuses on software engineering for high performance scientific applications; areas of interest include automatic differentiation, domain specific languages, and performance engineering.

Scott Klasky is the ORNL PI, and the Scientific Data Management lead for RAPIDS. He is a Distinguished R&D Staff Member and the group leader of the Scientific Data Group at Oak Ridge National Laboratory. More information on his R&D contributions can be found on his google scholar page.

John Wu is the Scientific Data Management co-lead for RAPIDS. He works on a number of topics in data management, data analysis, and high-performance computing. More information is available at http://crd.lbl.gov/wu/

RAPIDS Collaborators

David Boehme is a Computer Scientist at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). His research interests include performance analysis of parallel applications, and tool support for parallel programming. Please visit https://people.llnl.gov/boehme3 for more information.

Eric Brugger is a computer scientist at the Lawrence Livermore National Laboratory. He is one of the founders of the VisIt Visualization and Analysis tool as well as the VisIt Project Leader. His research interests are scientific visualization, scientific data modeling and in situ visualization and analysis.

Aydin Buluc is a Computational Staff Scientist at the Lawrence Berkeley National Laboratory and an Adjunct Assistant Professor of Electrical Engineering and Computer Science at UC Berkeley. His research interests include parallel computing, combinatorial scientific computing, high performance graph analysis, sparse matrix computations, computational genomics and parallel machine learning. For more information, see http://graphblas.org/~aydin/


Bronis R. de Supinski is the Lawrence Livermore Point of Contact (POC) for RAPIDS. He is the Chief Technology Officer (CTO) for Livermore Computing (LC), a role in which he formulates LLNL's large-scale computing strategy and oversees its implementation. His research interests include all aspects of large scale systems including OpenMP, for which he is the Language Committee Chair. For more information, see http://people.llnl.gov/desupinski1

Kevin Harms is a Performance Engineer at the Argonne Leadership Computing Facility who works on Storage and I/O. His research interests are parallel I/O and object storage systems.

Kevin Huck is Research Faculty and Computer Scientist at the University of Oregon. His research interests include application and workflow performance measurement, analysis, aggregation and visualization as well as lightweight measurement, dynamic runtime optimization and feedback/control systems for asynchronous multitasking runtimes.

Rob Latham is a Principle Software Development Specialist at Argonne National Laboratory. He works on high performance IO libraries and tools for scientific applications.

Chunhua "Leo" Liao is a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. His research focus has been on source-to-source compiler techniques to improve the performance, efficiency, and resilience of parallel programs. For more information, see https://people.llnl.gov/liao6

Wei-keng Liao is a Research Professor in the Department of Electrical Engineering and Computer Science at the Northwestern University. His research interests include parallel and distributed file I/O and storage system, high-performance data mining algorithm design, and software development for Parallel NetCDF.

Allen Malony is a Professor in the Department of Computer and Information Science at the University of Oregon. His research interests are in parallel computing, performance analysis, supercomputing, and scientific software environments. For more information, see https://cs.uoregon.edu/profile/malony

Kathryn Mohror is a computer scientist at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL) since 2010. Her research is currently focused on scalable fault tolerant computing and I/O for extreme scale systems. For more information, see https://people.llnl.gov/kathryn.

Wes Bethel has interests in all aspects of data science, especially scalable methods for HPC platforms, he is a Senior Scientist at Lawrence Berkeley National Laboratory, a Senior Fellow at the Berkeley Institute for Data Science, and an ACM Distinguished Scientist.

Boyana Norris is an Associate Professor in the Department of Computer and Information Science at University of Oregon. Her research in high-performance computing (HPC) focuses on methodologies and tools for performance reasoning and automated optimization of scientific applications, while ensuring continued or better usability of HPC tools and libraries and improving developer productivity. https://cs.uoregon.edu/profile/bnorris2

Manish Parashar Manish Parashar is Distinguished Professor and founding Director of the Rutgers Discovery Informatics Institute (RDI2). His research interests are broadly in Parallel and Distributed Computing. In the RAPIDS project, he is working on data-management for in-situ workflows. For more information please visit http://parashar.rutgers.edu/..

Tom Peterka is a computer scientist at Argonne National Laboratory, fellow at the Computation Institute of the University of Chicago, adjunct assistant professor at the University of Illinois at Chicago, and fellow at the Northwestern Argonne Institute for Science and Engineering. His research interests are in large-scale parallelism for in situ analysis of scientific data.

Oliver RĂ¼bel is a Computer Research Scientist in the Data Analytics and Visualization Group at Lawrence Berkeley National Laboratory. His research to date has focused on the intersection of visualization, data analysis, and data management for large-scale and high-dimensional data. For more information see http://vis.lbl.gov/~oruebel/ .

Han-Wei Shen is a full professor at The Ohio State University. His primary research interests are scientific visualization and data analytics. Professor Shen has participated the previous two SciDAC projects and has led several ASCR supported scientific data management, analysis, and visualization research projects. He was a winner of DOE Early Career Principal Investigator award in 2003. More information can be found at http://www.cse.ohio-state.edu/~shen.94


Gunther H. Weber is a Staff Computer Scientist in the Computational Research Division at Lawrence Berkeley National Laboratory and an Adjunct Assoicate Professor in Computer Science Department at the University of California, Davis. His research interests include scientific visualization, data analysis, high performance knowledge discovery, topological data analysis methods and hierarchical data representation methods. For more information see https://crd.lbl.gov/q/ghweber.


Shinjae Yoo is a computational scientist at Brookhaven National Laboratory and adjunct faculty member in Institute for Advance Computational Science, Stony Brook University. His research interests include scalable machine learning and data mining using approximation methods. For more information can be found at http://sjyoo.com.

Neil Fortner is a software engineer at The HDF Group. He has worked on the HDF5 file format and library since 2008. Besides HDF5, his research interests include HPC I/O and object storage systems.

Cyrus Harrison is a Computer Scientist at Lawrence Livermore National Laboratory (LLNL). He develops data management, analysis, and visualization tools that support large scale physics simulations. He is the software architect of the VisIt visualization tool and leads major aspects of the technical direction of the project.

For more information see: https://people.llnl.gov/harrison37

David E. Bernholdt is a Distinguished R&D Staff Member and leader of the Computer Science and Mathematics Group at Oak Ridge National Laboratory. His research interests are in the area of programming environments for computational science and engineering on high-performance computers, broadly interpreted. In RAPIDS, he leads Community Outreach activities and coordinates the external Liaisons.

Chad A. Steed is a Senior Research Staff Member and the leader of the Data Visualization and Machine Learning Team at Oak Ridge National Laboratory. His research spans the life cycle of data science including interactive data visualization, data analytics, visual perception, databases, and graphic design. More information about Chad and his research is available at http://csteed.com.