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Project Information

Project Information

Panel on Computational Sciences at the Army Research Laboratory

Project Scope:

The Panel on Computational Sciences at the Army Research Laboratory will annually review the scientific and technical quality of the Army Research Laboratory's (ARL) programs of research and development related to its Computational Sciences campaign. The panel will provide notes to the Army Research Laboratory Technical Assessment Board (ARLTAB), a committee that will prepare the interim and biennial reports summarizing its assessment of the ARL.

Status: Current


Project Duration (months): 13 month(s)

RSO: Mozhi, Arul


Computers and Information Technology
Conflict and Security Issues
Engineering and Technology
Math, Chemistry, and Physics

Committee Membership

Committee Post Date: 05/02/2017

Dr. Vipin Kumar

VIPIN KUMAR is currently the William Norris Professor and head of the Computer Science and Engineering Department at the University of Minnesota. Dr. Kumar is the lead principal investigator of a 5-year, $10 million project, "Understanding Climate Change - A Data Driven Approach", funded by the NSF's Expeditions in Computing program that is aimed at pushing the boundaries of computer science research. He also served as the director of Army High Performance Computing Research Center (AHPCRC) from 1998 to 2005. Dr. Kumar's current research interests include data mining, high performance computing, and their applications in climate/ecosystems and biomedical domains. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization and graph partitioning. He has authored over 300 research articles, and has co-edited or co-authored 11 books including widely used text books ``Introduction to Parallel Computing'' and ``Introduction to Data Mining'', both published by Addison Wesley. Dr. Kumar has served as chair/co-chair for many international conferences and workshops in the area of data mining and parallel computing, including IEEE International Conference on Data Mining (2002) and International Parallel and Distributed Processing Symposium (2001). Dr. Kumar co-founded SIAM International Conference on Data Mining and served as a founding co-editor-in-chief of the Journal of Statistical Analysis and Data Mining (an official journal of the American Statistical Association). Currently, Dr. Kumar serves on the steering committees of the SIAM International Conference on Data Mining and the IEEE International Conference on Data Mining, and is series editor for the Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Dr. Kumar is a fellow of the ACM, IEEE, and AAAS. He received the Distinguished Alumnus Award from the Indian Institute of Technology (IIT) Roorkee (2013); the Distinguished Alumnus Award from the Computer Science Department, University of Maryland College Park (2009); and IEEE Computer Society's Technical Achievement Award (2005). Dr. Kumar's foundational research in data mining and its applications to scientific data was honored by the ACM SIGKDD 2012 Innovation Award, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). Kumar received a B.E. in electronics and communication engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977; an M.E. in electronics engineering from Philips International Institute, Eindhoven, Netherlands, in 1979; and a Ph.D. in computer science from University of Maryland in 1982.
Dr. Linda A. Ness

LINDA A. NESS is retired chief scientist and university liaison at the Applied Communication Sciences Applied Research (formerly Telcordia). She currently is a part-time Visiting Scholar at the Rutgers DIMACS Center for Discrete Mathematics and Computer Science. Her areas of expertise are: multi-scale algorithms for representing and analyzing high-dimensional data; mathematics; computer science; research program management; management of innovation, technology transition and insertion; telecom operations support systems processes and products; and software development process. She has served as co-principal investigator of two DoD research projects focused on fast multi-scale algorithms for representing and analyzing high-dimensional data. Her former experience includes serving as assistant professor of mathematics at the University of Washington, visiting associate professor of mathematics at the University of Pennsylvania, and associate professor of mathematics at Carlton College. She has a B.A. in mathematics from St. Olaf College, an M.S. in mathematics from Harvard University, an M.S. in computer science from University of Texas at Austin, and a Ph.D. in mathematics from Harvard University. She has chaired the organizing committee for two workshops in mathematics and data science at ICERM, the Institute for Computational and Experimental Research in Mathematics at Brown University: the WiSDM Workshop (Women in Science of Data and Mathematics Research Collaboration Workshop) at ICERM, July 2017; and the Workshop on “Mathematics in Data Science” at ICERM (the NSF Institute for Computational and Experimental Research in Mathematics), July 2015.
Dr. Kalyan Perumalla

KALYAN PERUMALLA is a Distinguished Research and Development Staff Member and manager in the Computer Science and Mathematics Division at the Oak Ridge National Laboratory, and an Adjunct Professor in the School of Computational Sciences and Engineering at the Georgia Institute of Technology. Dr. Perumalla founded and currently leads the Discrete Computing Systems Group at the Oak Ridge National Laboratory. In 2015, he was selected as a Fellow of the Institute of Advanced Study at the Durham University, UK. He was appointed to serve on the National Academy of Sciences’ Technical Advisory Board on Information Science at the U.S. Army Research Laboratory, 2015-2017. Dr. Perumalla is among the first recipients of the U.S. Department of Energy Early Career Award in Advanced Scientific Computing Research, 2010-2015. Over the past 15 years, he has served as a principal investigator or co-principal investigator on research projects sponsored by the Department of Energy, Department of Homeland Security, Air Force, DARPA, Army Research Laboratory, National Science Foundation, and industry. Dr. Perumalla earned his Ph.D. in computer science from the Georgia Institute of Technology in 1999. His areas of interest include reversible computing, high performance computing, parallel discrete event simulation, and parallel combinatorial optimization. His notable research contributions are in the application of reversible computation to high performance computing and in advancing the vision of a new class of supercomputing applications using real-time, parallel discrete event simulations. High performance simulations spanning over 200,000 processor cores have been achieved by his algorithms and research prototypes on large supercomputing systems. He has published his research and delivered invited lectures and tutorials on topics spanning high performance computing and simulation. His recent book Introduction to Reversible Computing is among the first few in its area. He co-authored another book, three book chapters, and over 100 articles in peer-reviewed conferences and journals. Five of his co-authored papers received the best paper awards, in 1999, 2002, 2005, 2008, and 2014. Some of his research prototype tools in parallel and distributed computing have been disseminated to research institutions worldwide. Dr. Perumalla serves as program committee member and reviewer for international conferences and journals. He is a member of the editorial boards of the ACM Transactions on Modeling and Computer Simulation (TOMACS) and the SCS Transactions of the Society for Modeling and Simulation International (SIMULATION).
Dr. Daniel A. Reed - (Chair) - (Chair)

DANIEL A. REED is the Vice President for Research and Economic Development at the University of Iowa. He is also the University Computational Science and Bioinformatics Chair, and Professor of Computer Science and Electrical and Computer Engineering. Dr. Reed was named Vice President for Research and Economic Development at the University of Iowa in September 2012. He was Corporate Vice President at Microsoft from 2009 – 2012, responsible for global technology policy and extreme computing, and Director of Scalable and Multicore Computing at Microsoft from 2007 until 2009. He founded the Renaissance Computing Institute in 2004 and served as its director until December 2007. He was also Chancellor’s Eminent Professor and served as senior adviser for strategy and innovation to Chancellor James Moeser, UNC-Chapel Hill. He served as CIO and Vice Chancellor for Information Technology Services at UNC-Chapel Hill from June 2004 through April 2007. Prior to that, he was Director of the National Center for Supercomputing Applications (NCSA), Gutgsell Professor and head of the Department of Computer Science at the University of Illinois at Urbana-Champaign. He was appointed to the President’s Council of Advisors on Science and Technology (PCAST), by President Bush, in 2006 and served on the President’s Information Technology Advisory Committee (PITAC) from 2003–2005. As chair of PITAC’s computational science subcommittee, he was lead author of the report Computational Science: Ensuring America’s Competitiveness. On PCAST, he co-chaired the Networking and Information Technology subcommittee (with George Scalise of the Semiconductor Industry Association) and co-authored a report on the Networking and Information Technology Research and Development (NITRD) program called Leadership Under Challenge: Information Technology R&D in Competitive World. He is also a member of PCAST’s Personalized Medicine subcommittee. Dr. Reed is the past chair of the Board of Directors of the Computing Research Association (CRA) and currently serves on its Government Affairs Committee. CRA represents the research interests of the university, national laboratory and industrial research laboratory communities in computing across North America. Dr. Reed received his B. S. (summa cum laude) in computer science from the University of Missouri-Rolla in 1978, and his M. S. and Ph.D. in computer science Purdue University in 1980 and 1983.
Dr. Tilak Agerwala

TILAK AGERWALA is an IBM Emeritus, Adjunct Associate Professor in the Seidenberg College of CSIS, Pace University, NY and Member, TKMA Consulting, LLC. He is passionate about applying high performance and data centric computing technologies to transform science, engineering, health care, energy, education, and national security and educating the next generation of technical leaders in government, Industry and academia. In his IBM career, spanning 35 years, he held executive positions in research, strategy, advanced development, marketing, and business development. He was part of and led teams that developed and brought to market, technologies and systems for high performance computing such as IBM’s UNIX servers and cluster, the SP2 supercomputer, and BlueGene L, P, and Q. As vice president of Data Centric Systems at the T. J. Watson Research Center (2013-2014) his team established the guiding principles and the architecture for Data Centric Systems, establishing a new paradigm of scalable systems for big data, analytics, technical and cognitive computing. The U.S. Department of Energy awarded IBM contracts valued at $325 million to develop and deliver the world’s most advanced “data centric” supercomputing systems to advance innovation and discovery in science, engineering, and national security in November 2014. At IBM he was a member of IBM’s Growth and Transformation Team (2005-2014), a founding member of the IBM Academy of Technology, co-chair IBM Asian Diversity Council (2010-2014) and IBM’s representative to the Technology Strategy and Leadership Council of the U.S. Council on Competitiveness (2011-2014). Prior to joining IBM, he was an assistant professor of Electrical Engineering at The University of Texas, Austin. He is currently a Member of two NSF Advisory Committees (Engineering and Advanced Cyber Infrastructure) and a Council Member of the Government University Industry Research Round Table (GUIRR) of the National Academies. He is Life Fellow of the IEEE and a recipient of the IEEE's W. Wallace McDowell Award. He received his Bachelor of Technology degree in electrical engineering from the Indian Institute of Technology, Kanpur, India and his PH.D. in electrical engineering from The Johns Hopkins University. From 1975 to 1978. He has given well over a hundred invited presentations, keynotes, and distinguished lectures at conferences, universities and national laboratories worldwide.

Dr. Ralph C. Aldredge, III

RALPH C. ALDREDGE III is Professor of Mechanical & Aerospace Engineering at the University of California, Davis, where he is also a member of the Applied Mathematics and Biomedical Engineering Graduate Groups, the Center for Computational Fluid Dynamics, and the Institute for Transportation Studies. Dr. Aldredge’s research interests include analytical, computational and experimental studies of turbulent flame propagation and combustion instabilities; and development of computational models and algorithms for the simulation of reactive-flow dynamics and biofluid dynamics. He instructs courses in fluid mechanics, thermodynamics, heat transfer, biomedical heat and mass transport and combustion. Dr. Aldredge received his B.S, from Carnegie Mellon University and his master’s and Ph.D. degrees from Princeton University.
Prof. William D. Gropp

WILLIAM D. GROPP, NAE is the Acting Director and Chief Scientist at the National Center for Supercomputing Applications (NCSA); the Director of the Parallel Computing Institute; and the Thomas M. Siebel Chair in Computer Science at the University of Illinois, Urbana-Champaign. He has held the positions of assistant (1982-1988) and associate (1988-1990) professor in the Computer Science Department at Yale University. In 1990, he joined the Numerical Analysis group at Argonne, where he was a senior computer scientist in the Mathematics and Computer Science Division, a senior scientist in the Department of Computer Science at the University of Chicago, and a senior fellow in the Argonne-Chicago Computation Institute. From 2000 through 2006, he was also deputy director of the Mathematics and Computer Science Division at Argonne. In 2007, he joined the University of Illinois at Urbana-Champaign as the Paul and Cynthia Saylor Professor in the Department of Computer Science. From 2008 to 2014 he was the deputy director for research for the Institute of Advanced Computing Applications and Technologies at the University of Illinois. In 2011, he became the founding director of the Parallel Computing Institute. In 2013, he was named the Thomas M. Siebel Chair in Computer Science. In 2016, he was appointed as acting director of the National Center for Supercomputing Applications. His research interests are in parallel computing, software for scientific computing, and numerical methods for partial differential equations. He has played a major role in the development of the MPI message-passing standard. He is co-author of the most widely used implementation of MPI, MPICH, and was involved in the MPI Forum as a chapter author for MPI-1, MPI-2, and MPI-3. He has written many books and papers on MPI including Using MPI and Using MPI-2. He is also one of the designers of the PETSc parallel numerical library, and has developed efficient and scalable parallel algorithms for the solution of linear and nonlinear equations. With the other members of the PETSc core team, he was awarded the SIAM/ACM Prize in Computational Science and Engineering in 2015. Dr. Gropp is a fellow of ACM, IEEE, and SIAM, and a member of the National Academy of Engineering. He received the Sidney Fernbach Award from the IEEE Computer Society in 2008, the SIAM-SC Career Award in 2014, and the Ken Kennedy Award from the IEEE Computer Society in 2016. Dr. Gropp received his B.S. in mathematics from Case Western Reserve University in 1977, a M.S. in physics from the University of Washington in 1978, and a Ph.D. in computer science from Stanford in 1982.
Dr. George Karypis

GEORGE KARYPIS is a professor in the Department of Computer Science and Engineering at the University of Minnesota. His research interests span the areas of data mining, bio-informatics, parallel processing, CAD, and scientific computing. His research in data mining is focused on developing innovative new algorithms for a variety of data mining problems including clustering, classification, pattern discovery, and deviation detection, with an emphasis on business applications and information retrieval. His research in bio-informatics is focused on developing algorithms for understanding the function of genes and proteins in different species using data arising from genome-wide expression profiles. His research in parallel processing is focused on developing scalable parallel algorithms for emerging applications and architectures. His recent research has led to the development of a number of highly efficient and scalable software packages and algorithms such as METIS (a serial sparse graph partitioning software), ParMETIS (an MPI-based parallel graph partitioning software), hMETIS (a circuit partitioning software), PSPASES (a parallel direct solver), and CHAMELEON (a spatial clustering algorithm).
Dr. Peter M. Kogge

PETER KOGGE is the McCourtney Chair in Computer Science and Engineering and former associate dean of Engineering for Research at the University of Notre Dame. Prior to his joining Notre Dame in 1994, he was with IBM, Federal Systems Division, and was appointed an IEEE Fellow in 1990, and an IBM Fellow in 1993. In 1977, he was a visiting professor at the University of Massachusetts, Amherst. From 1977 through 1994, he was also an adjunct professor in the Computer Science Department of the State University of New York at Binghamton. Starting in the summer of 1997, he has been a distinguished visiting scientist at the Center for Integrated Space Microsystems at JPL. Dr. Kogge was an active and valued member of the Panel on Digitization and Communications Science at the Army Research Laboratory (ARL) from 2004-2005 and was chair of the panel from 2005-2011. He served with distinction as chair for the special assessment of ARL nanotechnology projects performed in 2004. His expertise in massively parallel processing architectures, advanced VLSI and nano- technologies and their relationship to computing system architectures, non-von Neumann models of programming and execution, parallel algorithms and applications, and their impact on computer architecture is strongly aligned with the central activities of the ARL Computational and Information Sciences Directorate (CISD). His highly relevant expertise, experience with the ARL assessment process, familiarity with CISD programs, and interpersonal skills will ensure that the panel will continue to have consistent, knowledgeable, and effective participation.
Dr. James L. McClelland

JAMES L. McCLELLAND (NAS) is the Lucie Stern Professor in the Social Sciences, and the founding director of the Center for Mind, Brain, and Computation at Stanford University. His research addresses a broad range of topics in cognitive science and cognitive neuroscience, including perception and perceptual decision making; learning and memory; language and reading; semantic and mathematical cognition; and cognitive development. Recently, he has begun a program of research in mathematical cognition. The work grows out of his interest in developmental transitions and in readiness to learn from new experiences as well as from the hope that a Parallel-Distributed Processing approach may shed light on some of the most awe-inspiring achievements of human thought --- the insights and structured reasoning systems that have been created by mathematicians. In this effort, his laboratory is combining experimental studies and computational modeling studies. Dr. McClelland served on the faculty of the University of California, San Diego, before moving to Carnegie Mellon in 1984, where he became a university professor and held the Walter Van Dyke Bingham Chair in Psychology and Cognitive Neuroscience. He was a founding co-director of the Center for the Neural Basis of Cognition, a joint project of Carnegie Mellon and the University of Pittsburgh. In 2006, Dr. McClelland moved to the Department of Psychology at Stanford University, where he served as department chair from fall 2009 through summer 2012. Over his career, Dr. McClelland has contributed to both the experimental and theoretical literatures in a number of areas, most notably in the application of connectionist/parallel distributed processing models to problems in perception, cognitive development, language learning, and the neurobiology of memory. He was a co-founder with David E. Rumelhart of the Parallel Distributed Processing (PDP) research group, and together with Rumelhart he led the effort leading to the publication in 1986 of the two-volume book, Parallel Distributed Processing, in which the parallel distributed processing framework was laid out and applied to a wide range of topics in cognitive psychology and cognitive neuroscience. Drs. McClelland and Rumelhart jointly received the 1993 Howard Crosby Warren Medal from the Society of Experimental Psychologists, the 1996 Distinguished Scientific Contribution Award from the American Psychological Association, the 2001 Grawemeyer Prize in Psychology, and the 2002 IEEE Neural Networks Pioneer Award for this work. Dr. McClelland has served as Senior Editor of Cognitive Science, as president of the Cognitive Science Society, as a member of the National Advisory Mental Health Council, and as president of the Federation of Associations in the Behavioral and Brain Sciences (FABBS). He is a member of the National Academy of Sciences, and he has received the APS William James Fellow Award for lifetime contributions to the basic science of psychology, the David E. Rumelhart prize for contributions to the theoretical foundations of Cognitive Science, the NAS Prize in Psychological and Cognitive Sciences, and the Heineken Prize in Cognitive Science. Dr. McClelland received a B.A. in psychology from Columbia University in 1970, and a Ph.D. in cognitive psychology from the University of Pennsylvania in 1975.
Dr. Kyran D. Mish

KYRAN D. MISH is the manager of the computational shock physics group at Sandia National Laboratories in Albuquerque, New Mexico. At Sandia, Dr. Mish serves as a technical liaison between the Department of Defense computational analyst community and the Sandia engineering code groups funded under the NNSA’s Advanced Simulation and Computing (ASC) initiative. Dr. Mish has four decades of experience in computational science and engineering in national laboratory, private engineering practice, and academic venues. Dr. Mish’s professional experience includes his current work at Sandia, a senior management tenure at Lawrence Livermore National Laboratory as the founding director of the Center for Computational Engineering, and service on the engineering and applied mathematics faculty of the University of California, Davis and the University of Oklahoma. Dr. Mish’s research interests lie at the interface of critical infrastructure and information technology, and his body of research work includes interests in subsurface mechanics, structural engineering, fluid-structure coupling, soil-structure interaction, scalable computing, and scientific visualization.
Dr. Padma Raghavan

PADMA RAGHAVAN is the Vice Provost for Research and Professor of Computer Science and Computer Engineering at Vanderbilt University. Prior to joining Vanderbilt in 2016, she served as the Associate Vice President for Research and Strategic Initiatives, as the founding Director of the Institute for CyberScience and Distinguished Professor of Computer Science and Engineering at the Pennsylvania State University. Dr. Raghavan specializes in high-performance computing and computational science and engineering with over 100 peer-reviewed publications, and 46 Masters and Ph.D. theses supervised. She has led the development of “sparse algorithms” that derive from and operate on compact yet accurate representation of high dimensional data, complex models, and computed results. She has developed parallel sparse linear solvers that limit the growth of computational costs and utilize the concurrent computing capability of advanced hardware to enable the solution of complex large-scale modeling and simulation problems that are otherwise beyond reach. She was also among the first to propose the design of energy-efficient supercomputing systems by combining results from sparse scientific computing with energy-aware hardware optimizations used for small-embedded computers. In recognition of her contributions to scalable parallel computing, Dr. Raghavan is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and she received the National Science Foundation’s CAREER award and the Maria Goeppert-Mayer Distinguished Scholar award from the University of Chicago and the Argonne National Laboratory. Dr. Raghavan is an active member of major professional societies currently serving as the Chair of the Technical program of the 2017 IEEE/ACM Conference on Supercomputing and on the editorial boards of SIAM (Society of Industrial and Applied Mathematics) series on Computational Science and Engineering, and Software, Environments and Tools. Dr. Raghavan is also a member of the SIAM Committee on Science policy and the SIAM Council, which together with its Board and officers leads SIAM. Dr. Raghavan serves on the Advisory Board of the Computing and Information Science and Engineering Directorate of the National Science Foundation and the National Academies Panel on Computational Sciences at the Army Research Laboratory. Dr. Raghavan received a Ph.D. in computer science from Penn State, University Park, PA, in 1991, an M.S. in computer science from Penn State, University Park, PA, in 1987, and a B.Tech. (Honors) in computer science and engineering from the Indian Institute of Technology, Kharagpur, India, in 1985.
Dr. Guy Lewis Steele Jr.

GUY LEWIS STEELE, JR. (NAE) is a software architect for Oracle Labs and principal investigator of the Programming Language Research project. At Oracle Labs he is responsible for research in language design and implementation strategies, and architectural and software support for programming languages. Prior to becoming a member of Oracle Labs, he was an assistant professor of computer science at Carnegie-Mellon University; a member of the technical staff at Tartan Laboratories in Pittsburgh, Pennsylvania; a senior scientist at Thinking Machines Corporation in Cambridge, Massachusetts; and a Distinguished Engineer and then a Sun Fellow at Sun Microsystems Laboratories. His work at Sun Microsystem Laboratores and Oracle Labs has included network design for processor clusters; circuit designs for floating-point arithmetic; proposals for improvements to the Java Programming Language such as generic types, operator overloading, and constant classes; and the Fortress programming language. His research interests include algorithms, compiler design, distributed systems, floating-point arithmetic, Fortress, functional programming, garbage collection, hardware/software codesign, high performance computing, high productivity computing, interval arithmetic, Java, Lisp, object-oriented programming, operating systems, parallel algorithms, parallel computer architectures, parallel processing, programming languages, Scheme, and supercomputer design. He is author or co-author of five books: Common Lisp: The Language; C: A Reference Manual; The Hacker's Dictionary, which has been revised as The New Hacker's Dictionary; The High Performance Fortran Handbook; and The Java Language Specification. He has published more than two dozen papers on the subject of the Lisp language and Lisp implementation, including a series with Gerald Jay Sussman that defined the Scheme dialect of Lisp. He has also published papers on other subjects, including compilers, parallel processing, and constraint languages. The Association for Computing Machinery awarded him the 1988 Grace Murray Hopper Award and named him an ACM Fellow in 1994. He was elected a fellow of the American Association for Artificial Intelligence in 1990. He led the team that received a 1990 Gordon Bell Prize honorable mention for achieving the fastest speed to that date for a production application: 14.182 Gigaflops. He was also awarded the 1996 ACM SIGPLAN Programming Languages Achievement Award. In 2001 he was elected to the National Academy of Engineering of the United States. In 2002 he was elected to the American Academy of Arts and Sciences. In 2011 he was named an IEEE Fellow. He has served on accredited standards committees X3J11 (C language) and X3J3 (Fortran), and served as chairman of X3J13 (Common Lisp). He was also a member of the IEEE committee that produced the IEEE Standard for the Scheme Programming Language, IEEE Std 1178-1990. He was a representative to the High Performance Fortran Forum, which produced the High Performance Fortran specification in May, 1993. He received his A.B. in applied mathematics from Harvard College (1975), and his S.M. and Ph.D. in computer science and artificial intelligence from MIT (1977 and 1980).

Committee Membership Roster Comments

Nancy J. Kopell resigned on 6/1/17



Army Research Laboratory
Aberdeen Proving Ground, MD

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Monday, 12 June 2017

0930-0935 Welcome- Safety and Housekeeping
Mr. Chris Oliver, Associate Director Program Integration and Outreach
Computational and Sciences Directorate, Army Research Laboratory

0935-1005 ARL Overview and Expectations
Dr. Alex Kott, Chief Scientist, Army Research Laboratory

1005-1100 Computational Sciences Campaign Overview
Dr. Raju Namburu, CS Campaign Lead

Data Intensive Sciences

1100-1115 Data Intensive Sciences Overview, Dr. Brian Henz

1115-1145 Neuromorphic Processing, Dr. Manny Vindiola & Dr. John Monaco

1145-1215 Cooperative Reinforcement Learning, Mr. John Mern (AHPCRC/Stanford)

1215-1300 Working Lunch: Discussions with ARL Personnel

Predictive Sciences

1300-1310 Predictive Sciences Overview, Dr. Ernest “Ernie” Chin

1310-1340 Dynamic Surrogate Model Evaluation in a Computational Framework for Scale Bridging with Application to Multiscale Modeling of RDX, Dr. Ken Leiter

1340-1410 Micro-System MS Transport, Dr. Brent Kraczek

1410-1420 Break

Location: Aberdeen Proving Ground, Army Research Laboratory (ARL) – Building 120

1420-1700 Computational Sciences Campaign Posters, Demonstrations, and Tours


o Neuromorphic Computing Lab Tour
• Neuromorphic Processing Demo
o Programmable Network Lab Tour
• SDN Demo
o Scientific Visualization Lab Tour & Demo

1800-2030 Joint Working Dinner: Panel & ARL Personnel Continue Discussions

Tuesday, 13 June 2017

Advanced Computing Architectures

0800-0810 Advanced Computing Architectures Overview, Mr. Dale Shires

0810-0840 Energy Efficient Architecture, Mr. James Ross

0840-0910 Efficient Modeling of Open Quantum Systems, Dr. Kurt Jacobs

0910-1015 Computational Sciences Campaign Demonstration and Tour

1300-1400 Panel Meets in Breakout with ARL Researchers

1600-1700 Full Panel Meeting with ARL Personnel

1700-1800 Panel Chair and National Academies Staff Meets with ARL Director

Is it a Closed Session Event?

Closed Session Summary Posted After the Event

The following committee members were present at the closed sessions of the event:

Daniel A. Reed
James T. Kajiya
Vipin Kumar
Linda A. Ness
Kalyan Perumalla
Tilak Agerwala
William D. Gropp
Peter M. Kogge
Padma Raghavan
Guy Lewis Steele Jr.
Ralph C. Aldredge
George Karypis
James L. McClelland
Kyran D. Mish

The following topics were discussed in the closed sessions:

Review of the agenda and criteria and plan for the review.
Discussion of findings from the review.
Plan for the preparation of the final report.

The following materials (written documents) were made available to the committee in the closed sessions:


Date of posting of Closed Session Summary:
June 19, 2017


  • Publications having no URL can be seen at the Public Access Records Office

No data present.