Dr. Alter is a USTAR associate professor of bioengineering and human genetics at the Scientific Computing and Imaging Institute and the Huntsman Cancer Institute at the University of Utah, and the principal investigator of an NCI Physical Sciences in Oncology U01 project grant. Inventor of the "eigengene," she pioneered the matrix and tensor modeling of large-scale molecular biological data, which, as she demonstrated, can be used to correctly predict previously unknown cellular mechanisms. Dr. Alter received her Ph.D. in applied physics at Stanford University, and her B.Sc. magna cum laude in physics at Tel Aviv University. Her Ph.D. thesis on "Quantum Measurement of a Single System,” which was published by Wiley-Interscience as a book, is recognized today as crucial to the field of gravitational wave detection.
Ritu Arora is an HPC researcher and consultant at the Texas Advanced Computing Center (TACC). She is also an associated faculty in the Department of Statistics and Data Sciences at the University of Texas at Austin. She has made contributions in the area of legacy HPC application modernization and migration. Her research and development work is at the crossroads of HPC and advanced software engineering techniques. Ritu also provides HPC and Big Data consultancy to the users of the national cyberinfrastructure through her role in XSEDE (Extreme Science and Engineering Discovery Environment). The key areas of her interest and expertise are HPC, fault-tolerance, domain-specific languages, generative programming techniques, workflow automation, and Big Data management. She received her Ph.D. in Computer and Information Science from the University of Alabama at Birmingham.
Philip Douglas Blood
Philip Blood received his Ph.D. in Bioengineering from the University of Utah where he utilized massively parallel molecular dynamics simulations to study how proteins remodel cellular membranes. In 2007, after extensively employing NSF supercomputers to conduct his research, Philip joined the Pittsburgh Supercomputing Center where he works as a Senior Computational Scientist. He is actively engaged in the NSF XSEDE project, working with scientists in the fields of computational chemistry, biophysics, bioinformatics, and various other disciplines to advance science through supercomputing. Philip runs the Anton project at PSC providing researchers access to a special-purpose supercomputer for biomolecular simulation. As a PI of the National Center for Genome Analysis Support, he is also focused on enabling large-scale, accessible genomics analysis.
Dr. Byrd is an Assistant Professor at Purdue University where she is contributing to the curriculum for a new undergraduate major in data visualization. Dr. Byrd has given numerous talks and workshops on data visualization. Her in interests include HPC Visualization, Broadening Participation in Visualization and Visual Analytics.
Scott Andrew Callaghan
I’m a research programmer at the Southern California Earthquake Center (SCEC), based in Los Angeles, though I work remotely from St. Louis, Missouri. I first got involved at SCEC as an undergraduate intern, then as a graduate student, and now as staff. I’m the project lead on a software application which performs physics-based probabilistic seismic hazard analysis for California. This software typically runs on large HPC systems such as Blue Waters at NCSA and Titan at OLCF. My research interests include scientific workflows and high throughput computing. I spend most of my time outside of work playing with my one-year-old son, but I also curl, knit, and grow vegetables.
Thomas Cheatham is a Professor in the Department of Medicinal Chemistry in the College of Pharmacy and also Director of Research Computing and the Center for High Performance Computing (CHPC) in University IT at the University of Utah. His research involves large ensembles of biomolecular simulations with a focus on RNA and he is involved nationally with a variety of cyberinfrastructure interests including XSEDE, Blue Waters, ACI-REF and the Canpus Research Computing Consortium. At CHPC, beyond broadly supporting research computing on campus, our staff deploy and operate both open and protected environments for computing and analyses of open and restricted data (including HIPAA and human genomic data), and large scale virtualized, "bare metal", HPC, storage and advanced networking resources.
Christian Feld has been active in the field of computer simulation and performance analysis since his time as a student at Cologne University from where he received his Diploma in Physics in 2004. After a year working as a consultant and software engineer for the Münster University of Applied Sciences, he moved to PTV AG in Karlsruhe where he joined the traffic simulation development team. From 2009 on he works as a scientific staff member at the Jülich Supercomputing Centre (JSC), reinforcing JSC’s cross-sectional team “Performance Analysis”. This gave him the opportunity to visit University of Oregon as courtesy research assistant and becoming visiting scientist at RIKEN’s Advanced Institute for Computational Science, Programming Environment Research Team. His work is primarily focused within projects developing Score-P, the next generation measurement infrastructure for the performance analysis tools Scalasca, Vampir, TAU and Periscope.
Jodi was raised in rural South Georgia and completed a B.S. in Chemistry at Armstrong Atlantic State University in 2007. She performed her graduate studies at the University of Georgia under the direction of Robert J. Woods, developing extensive experience in the modeling, simulation, and parameterization of carbohydrates and glycoconjugates. She attended the ISSHPC as a student in 2011 and received a Ph.D. in Computational Chemistry in 2014. For the past three years, Jodi has worked as a postdoctoral researcher at the NIH Center for Macromolecular Modeling and Bioinformatics at the Beckman Institute at the University of Illinois at Urbana-Champaign. Originally under the direction of the late Klaus Schulten, Jodi’s research now focuses on simulations of large protein systems, particularly molecular machines. Her ongoing projects include study of the structure and dynamics of the hepatitis B virus capsid and the mechanism and mechanical properties of cytoplasmic dynein. Jodi was recently hired as an independent postdoctoral researcher in the Department of Chemistry and Biochemistry at the University of Delaware, where she will begin work in the fall. Outside of the lab, Jodi enjoys reading, writing, biking, crocheting, and playing flute in her local community band.
I have been working with supercomputers for over 25 years, and teaching people how to use them for almost as long. I joined EPCC after doing research in computational theoretical physics. The Edinburgh Parallel Computing Centre is based in the University of Edinburgh, Scotland, and we house and support the UK national supercomputer service ARCHER.
Frank Jenko studied physics at the Technical University of Munich. On taking his PhD he joined the Max Planck Institute for Plasma Physics (IPP) in Germany in 1998 as a research scientist. After visiting terms in the USA he took his lectureship degree at the University of Ulm in 2005 and took charge of a Junior Research Group at IPP, working on the simulation of plasma turbulence on high performance computers. In 2014 he joined the University of California, Los Angeles (UCLA) as Professor of Physics and Astronomy and Director of the Plasma Science and Technology Institute. As of January 2017, he is Scientific Fellow and head of the Tokamak Theory Division at IPP. His awards include a Starting Grant of the European Research Council (2011), the Hans Werner Osthoff Plasma Physics Prize awarded by the University of Greifswald (2004) and the Otto Hahn Medal conferred by the Max Planck Society (1999). He has co-authored about 200 peer-reviewed publications and given more than 100 scientific talks.
Hermann Lederer received a diploma in physics from the University of Munich (LMU) and a PhD in Natural Sciences from the Technical University of Munich (TUM). After a post-doc position at Max Planck Institute of Biochemistry in Martinsried, with research stays at Institut Laue-Langevin (Grenoble), Risoe National Laboratory and DESY (Hamburg), he took a position at RZG in Garching where he built up the group for high performance applications support. In 2009 he became deputy director of RZG, recently renamed to Max Planck Computing and Data Facility. Hermann Lederer is one of the initiators of the international HPC summer school which started in 2010.
Erik Robert Lindahl
Erik Lindahl is professor of Biophysics at Stockholm University Sweden, with a second appointment as professor of Theoretical Biophysics at the KTH Royal Institute of Technology. His research is focused on understanding membrane protein structure and function, in particular complex conformational transition and method development both for molecular dynamics simulations and cryo-EM structure determination. The lab leads the development of GROMACS, which is one of the large programs used for parallel molecular dynamics simulations on a wide range of supercomputers, distributed resources and accelerators such as GPUs or many-core chips.
Computer scientist and former Distinguished Member of Technical Staff at Bell Labs - in 1993 introduced the World Wide Web to what is now Avaya and bootstrapped their participation in the IETF. Wrote open source ElectionAudits software used in the groundbreaking 2010 and 2008 election audits in Boulder County, Colorado. Major contributor to IEEE 1622 standards for election data interchange. With Internet2, co-organized the annual IDtrust symposium for 10 years. An Ubuntu Member on the Server Team and the Colorado Ubuntu Linux Team.
A long history of volunteering. Served on the Boulder Public Library Commission and Boulder's Energy Advisory Board. In 1993, co-founded the Boulder Community Network. Chaired the Information Technology team at KGNU for several years.
Born in 1969, and received Ph.D. from JAIST (2000). He worked as researcher of SANYO COLOR WORKS (1993-1994), researcher of JRCAT (2000), researcher of AIST (2001-2007), and associate Professor at Research Center for Integrated Science (RCIS) and Research Center for Simulation Science (RCSS) of JAIST (2007-2014), and received the Joint Research Center for Atom Technology Award in 2001. His scientific interests are to develop highly efficient and accurate electronic structure methods and to investigate physical and chemical properties of realistic materials using these developed techniques. He is a member of the Japan Physical Society, and involved in the Computational Materials Science Initiative (CMSI) , as a part of the Next-Generation Supercomputers Strategic Program (FY 2010 - 2015) of the Ministry of Education, Culture, Sports, Science and Technology (MEXT), and also involved in the project of ""Materials Design through Computics"" , Scientific Research on Innovative Areas, a MEXT Grant-in-Aid Project (FY2010-2014). Apart from the professional researches, he loves mathematics, programming, sports, and nature, and lives with his wife, two children, and a dog.
Amy Beth Prager
Amy Beth Prager is an applied mathematician whose research focuses on inclusion and diversity within STEM. She is ABD from Teachers College, Columbia University where she studied university based intervention programs designed to increase female participation in STEM. While at Columbia University she was an Exchange Scholar in mathematics at Princeton University. Most recently, she studied graduate level applied mathematics and computer science at MIT, and during her student tenure at MIT, researched the statistical preferences of mercury with respect to varied biologically important ligands at Oak Ridge National Laboratory. She currently is a lecturer at Cornell University, Department of Mathematics helping to teach mathematics education courses such as MATH 5080.
Dr. Amanda Randles is an Assistant Professor in Biomedical Engineering at Duke University with secondary appointments in Mathematics, Computer Science, and Mechanical Engineering. She is also a member of the Duke Cancer Institute. In general, her work focuses on the design of large-scale parallel applications targeting biomedical questions. Her research goals are to both investigate fundamental questions related to fluid dynamics as well as extend the multiscale models to study cancer metastasis and vascular disease. In 2014, she was awarded the NIH Early Independence Award to support the development of models of cancer migration in the human vasculature. Randles received her Bachelor's Degree in both Computer Science and Physics from Duke University, her Master's Degree in Computer Science from Harvard University, and her Ph.D. in Applied Physics from Harvard University with a secondary field in Computational Science. From 2013-2015, She was a Lawrence Fellow at Lawrence Livermore National Laboratory. Before graduate school, she worked for three years as a software developer at IBM on the Blue Gene Development Team. Randles is a co-inventor on 115 US patents in the field of parallel computing. She won the ACM/IEEE-CS George Michael High Performance Computing Fellowship in 2010 and 2012 and was a finalist for the Gordon Bell Prize for achievement in high performance computing in 2010 and 2015.
Dr. Stephanie TerMaath is an Assistant Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville. Before joining the faculty in the Fall of 2012, she managed the Physics-Based Computing group at Applied Research Associates (ARA). She previously held positions at Boeing Phantom Works and Lockheed Martin Aeronautics. Her diverse technical background encompasses theoretical, computational, and experimental research, including advanced finite element analysis, structural mechanics, fracture mechanics, and material properties characterization. She completed a Ph.D. from Cornell University in 2000, an M.S. from Purdue University in 1995, and a B.S. from Penn State in 1993. She is a registered Mechanical Engineer and is an Associate Fellow with the American Institute of Aeronautics and Astronautics (AIAA).
John Towns is the PI and Project Director for the Extreme Science and Engineering Discovery Environment (XSEDE) project and the Executive Director for the XSEDE Project Office at NCSA (the National Center for Supercomputing Applications, also at Illinois) where he is the Director of the Illinois Campus Cluster Program. He also is Deputy CIO for Research IT for Technology Services at the University of Illinois at Urbana-Champaign. Towns plays significant roles in the deployment and operation of high-end resources and services, and distributed computing projects providing leadership and direction in the development and provisioning of advanced computing resources and services. His background is in computational astrophysics utilizing a variety of computational architectures with a focus on application performance analysis. He earned M.S. degrees in Physics and Astronomy from the University of Illinois and a B.S. in Physics from the University of Missouri-Rolla.
Ramses van Zon
Ramses van Zon is an HPC Applications Analyst at SciNet HPC Consortium at the University of Toronto, where he helps researchers get the most out of their computational allocations and teaches on topics in high performance computing and advanced research computing. He obtained his Ph.D. in Theoretical Physics at Utrecht University, and has worked at the Rockefeller University in New York and at the Chemical Physics Theory Group of the University of Toronto. He has extensive experience with using parallel programming, advanced algorithms for molecular dynamics, and workflow analysis.
I was one pioneers in making first and later generation climate models. I have been at the National Center for over 50 years and received the National Medal of Science from President Obama in the field of climate science and modeling.
Kazuki Yoshizoe received his PhD from the University of Tokyo based on his work in AND-OR tree search algorithms. When he was a PhD candidate, he studied at a parallel computing laboratory. Then, he got interested in AI, especially search algorithm, including Monte-Carlo Tree Search which is famous for the success in computer Go. For recent several years, his main interest was in scalable parallel search algorithms. From 2017, he had joined RIKEN Center for Advanced Intelligence Project (AIP).
Mete Ugur Akdogan
Mete Ugur Akdogan is a researcher of computer engineering at Dokuz Eylul University Turkey, where he got his Ph.D. in 2014. With his passion of teaching he also instructed courses like data structures and algorithms, operating systems and parallel computing. His researches mainly includes HPC, big data analysis and mining.
Jay Alameda is the lead for Advanced Application Support at the National Center for Supercomputing Applications. In this role, he works with the Extreme Science and Engineering Discovery Environment (XSEDE) which is a collaboration of NSF-funded high performance computing (HPC) resource providers, working to provide a common set of services, including the provisioning of advanced user support, to the science and engineering community. In particular, Jay leads the Extended Support for Training, Education, and Outreach Service of XSEDE, which provides the technical expertise to support Training, Education, and Outreach activities organized by XSEDE. He also was the lead of the recently completed NSF funded SI2 project, “A Productive and Accessible Development Workbench for HPC Applications Using the Eclipse Parallel Tools Platform”, which improved the Eclipse Parallel Tools Platform (PTP) to serve as a platform for development of HPC applications.
I am an Applications Developer at the Edinburgh Parallel Computing Centre at the University of Edinburgh. I carry out technical work in academic and industrial projects. I am also part of the CSE (Computational, Science and Engineering) team that provides support for the UK's National Supercomputing Service, ARCHER. Before joining EPCC a few years ago, I worked at the British Antarctic Survey as a biophysical modeller. Although my background is in theoretical physics, I am often involved in multidisciplinary work, which I thoroughly enjoy.
I have always been fascinated with all things that fly, so it was quite natural for me to study aerospace engineering. After finishing my M.Sc. at Georgia Tech with a focus on aerodynamics, I returned home to focus on numerical methods for compressible, turbulent flows as a Ph.D. project and quickly became intrigued by the HPC / aspect of scientific computing. As a PostDoc, I have shifted my focus towards data-driven modeling, and I am now supervising research projects on uncertainty quantification and machine learning. Both approaches require a different approach to HPC, and I enjoy learning alongside my students. Besides teaching classes and thinking about ideas for new proposals, I am currently trying to write some interesting neural networks for CFD modeling on my own.
My free time is dedicated to my family and friends and extensive traveling whenever possible. During the summer breaks, I try to find an opportunity to teach classes or short courses outside of university on all things that fascinate me outside to diverse groups.
Hello everyone! My name is Bruno Blais, and I am a Research Officer and Research Lead for the National Research Council of Canada. My focus is on the study of single and multiphase flows in complex processes linked to manufacturing. I have been studying and researching in the field of computational fluid dynamics (CFD) for the last 8 years or so, and it has remained my passion. I have a Ph.D. and a B.Eng. from Polytechnique Montreal as well as an M. Sc. and a D. Ing. from ENSTA Paristech. Outside of work, I greatly enjoy bass guitar, classical piano, rock climbing (lead and bouldering) as well as yoga. I'm a huge fan of microbreweries and a very sociable person! It will be a pleasure to discuss with you.
Currently at the Laboratory for Atmospheric and Space Physics (CU Boulder), I am exploring the plasma interactions with airless and (un)magnetised bodies in space and in the laboratory using parallel and implicit particle-in-cell techniques on various architectures. More specific, I work on disentangling the multi-scale kinetic interaction processes of the solar wind interaction with lunar magnetic anomalies, spacecraft charging and the dynamics of comets.
Professor of Psychology, Executive Director of the Center for Education Integrating Science Mathematics, and Computing (CEISMC), and Associate Dean-College of Sciences. Educational Psychology; School Psychology; evaluation and sustainability of innovative STEM educational programs; multi-site, large-scale research centers and initiatives; and programs serving underrepresented groups in STEM.
Elsa Gonsiorowski is an HPC researcher at Lawrence Livermore National Laboratory (LLNL). Her focus is on application I/O and preparing for future supercomputing systems. Elsa's research interests include software for application checkpointing and parallel discrete-event simulation. This is her 3rd year at the IHPCSS; previously Elsa participated as a student (2015) and peer mentor (2016). She received her Ph.D. in Computer Science from Rensselaer Polytechnic Institute in 2016.
Toshiyuki Imamura is currently a team leader of Large-scale Parallel Numerical Computing Technology at Advanced Institute for Computational Science (AICS), RIKEN. He received his Diploma (M.Sc.) and Doctorate (Ph.D.) in applied systems and sciences in 1993 and 2000, respectively, both from Kyoto University, Japan. He was a Researcher at the Center of Computational Science and Engineering, Japan Atomic Energy Research Institute in 1996-2003, a visiting scientist at HLRS (Germany) in 2001-2002, and an associate professor at the University of Electro-Communications in 2003-2012. Since 2012 he has been with RIKEN. His research interests include high-performance computing, automatic-tuning technology, eigenvalue computation (algorithm/software/applications), etc. He and his colleagues (Japan Atomic Energy Agency (JAEA) team) were nominated as one of the finalists of Gordon Bell Prize in SC05 and SC06. He is a member of IPSJ, JSIAM and SIAM.
Shelley is the Assistant Director of Research Data and Training in the Research Computing group at the University of Colorado-Boulder. Her roles include training researchers to use our systems more effectively, and helping scientists optimize their research through effective data management skills. She is also the Director of Education and Training in the Center for Research Data and Digital Scholarship (CRDDS), a collaborative effort with the CU Libraries. Shelley's experience is in data management and quality control. She earned her PhD in Atmospheric and Oceanic Sciences in Spring 2014.
John Urbanic is Parallel Computing Scientist at the Pittsburgh Supercomputing Center where he spends as much time as possible implementing extremely scalable code on interesting machines. These days that means a lot of MPI, OpenMP and OpenACC. He also enjoys Big Data challenges which involve such things as graph analytics, SPARQL and novel architectures. John frequently teaches workshops and classes on the above and is most visible as the lead for the XSEDE Monthly Workshop Series and the Summer Boot Camp and the International HPC Summer School on HPC Challenges in Computational Sciences. John graduated with Physics degrees from Carnegie Mellon University (BS) and Pennsylvania State University (MS) and still appreciates working on applications that simulate real physical phenomena.