Jonathan is an experienced leader, manager, and researcher. His current research is in the area of data movement reduction hardware/software system architecture solutions for post-exascale and post-Moore systems.
Jonathan is currently a staff research engineer at ARM in Austin, Texas, advisor to FastData.io, and owner of Arkhesoft LLC. He is a graduate of Louisiana State University, The Johns Hopkins University, and Washington University in St. Louis. Jonathan holds baccalaureate degrees in Biology and International studies, a masters degree in Bioinformatics and a doctorate in Computer Science under the research direction of Dr. Roger Chamberlain.
Jonathan is a U.S. Army veteran. He served in multiple countries, in roles ranging from platoon leader and general's Aide-de-Camp to deputy director within a large successful multi-national organization. Jonathan has successfully led companies in size from 50 through 250, including managing and directing start-up operations of an organization with a multi-million USD budget.
Jonathan is an experienced leader, manager, and researcher. His current research is in the area of data movement reduction hardware/software system architecture solutions for post-exascale and post-Moore systems.
Jonathan is currently a staff research engineer at ARM in Austin, Texas, advisor to FastData.io, and owner of Arkhesoft LLC. He is a graduate of Louisiana State University, The Johns Hopkins University, and Washington University in St. Louis. Jonathan holds baccalaureate degrees in Biology and International studies, a masters degree in Bioinformatics and a doctorate in Computer Science under the research direction of Dr. Roger Chamberlain.
Jonathan is a U.S. Army veteran. He served in multiple countries, in roles ranging from platoon leader and general's Aide-de-Camp to deputy director within a large successful multi-national organization. Jonathan has successfully led companies in size from 50 through 250, including managing and directing start-up operations of an organization with a multi-million USD budget.
Performance modeling results of Higher Order Symmetric Schemes in a Limited Area model, COSMO, show that the increased stencil width associated with the schemes has insignificant impact on the computational costs when applied at climate scales. The computing time for longer time integration of the model equations is however affected by additional operations necessary for the symmetric conservative fourth order scheme.
Speaker Description:
Jack Ogaja is a Scientific Programmer and Data Analyst at Brown University. Previously worked as a Computational Scientist at Barcelona Supercomputing Center in Spain, and Brandenburg University of Technology in Germany.
In this talk, we present an on-going work that proposes the integration of MPI one-sided communication in MapReduce frameworks. By using a decoupled strategy, we aim to overlap computations with communications during the Map and Reduce phases. Hence, we effectively increase the performance in situations where the workload is unexpectedly unbalanced. In addition, we present a novel mechanism for decentralized job-stealing, which enables MPI processes to obtain ownership of input datasets.
Speaker Description:
Sergio Rivas-Gomez is a Ph.D. student in High-Performance Computing at KTH Royal Institute of Technology (Sweden) under the supervision of Erwin Laure and Stefano Markidis. His research focuses on the integration of unified programming interfaces that enable new mechanisms for handling high-performance I/O on Exascale. Sergio is also part of the SAGE Project, one of the leading Exascale efforts of the European Union.
At Oak Ridge National Lab (ORNL), leadership computing has included container usage in high performance computing, (HPC) with the intent to develop reproducible HPC applications and workflows. The Geographic Information Sciences and Technology (GIST) group at ORNL has been using containers in its HPC deep learning workflows, allowing its researchers to quickly create and adapt computing environments as their needs evolve.
Speaker Description:
Benjamin Liebersohn is Researcher at Oak Ridge National Laboratory
CHORDS, an EarthCube Building Block, addresses the ever-increasing importance of real-time scientific data, particularly in mission critical scenarios, where informed decisions must be made rapidly. Many of the phenomenon occurring within the geosciences, ranging from hurricanes and severe weather, to earthquakes, tsunamis, volcanoes and floods, can benefit from better handling of real-time data.
Speaker Description:
Aaron Botnick is a software engineer at NCAR's Earth Observing Laboratory, responsible for development and support of the CHORDS application. Aaron has previously worked in various software engineering roles developing both web and desktop applications.
In this talk we provide an overview of a set of powerful open source tools available to process, store, subset, and visualize large volumes of point cloud data obtained through LIDAR instrumentation. We discuss Valkyrie, an experimental service developed at NSIDC, which can be used to subset and serve LIDAR point-cloud data obtained from NASA's Operation IceBridge flights that take place over the Arctic and Antarctic each year.
Speaker Description:
Kevin Beam is a Professional Research Assistant / Software Engineer at the National Snow and Ice Data Center (NSIDC) at the University of Colorado Boulder. He has an interest in all things Python, JavaScript, and Linux
When scientists are working on an analysis or a data transformation, they often work with a single test case or dataset at a time, and scale up to multiple cases by simply running their code multiple times. This approach works well up to a point, but new approaches are necessary in the realm of Big Data. Many data analysis tasks are embarrasingly parallel and well-suited to scaling up via parallelism.
Speaker Description:
Seth McGinnis is an Associate Scientist IV with joint appointments in CISL and RAL. As the Data Manager for the NARCCAP and NA-CORDEX data collections, he makes the output from regional climate models usable by and available to people who need information about climate change in North America. His research focuses on bias correction, interpolation, data access, and other issues affecting the practical use of model output by non-specialists.
Robert Jackson, Scott Collis, Zach Sherman, Giri Palanisamy, Scott Giangrande, Jitendra Kumar, Joseph Hardin
Speaker Description:
Bobby Jackson is a postdoctoral researcher at Argonne National Laboratory. He received his B.S. in Math and Computer Science and Ph.D. in Atmospheric Sciences at the University of Illinois at Urbana-Champaign. He now specializes in developing algorithms to analyze large scanning radar datasets using HPC platforms.
