RCE an HPC Podcast
Brock Palen and Jeff Squyres speak with Bob Panoff and Scott Lathrop about Shodor a national resource for computational science education.
Dr. Robert M. Panoff is founder and Executive Director of Shodor, a non-profit education and research corporation in Durham, NC, dedicated to reform and improvement of mathematics and science education through appropriate computational and communication technologies. Dr Panoff is the 2014 recipient of the SIGCSE Outstanding Contribution to Computer Science Education Award. As PI on several National Science Foundation (NSF) and US Department of Education grants that explore interactions between technology and education, he develops interactive simulation modules that combine standards, curriculum, supercomputing resources and desktop computers. In recognition of Dr. Panoff's efforts in college faculty enhancement and curriculum development, Shodor was named as a NSF Foundation Partner for the revitalization of undergraduate education. In 1998, Shodor established the Shodor Computational Science Institute, which was expanded with NSF funding in 2001 to become the National Computational Science Institute (NCSI). Shodor’s Computational Science Education Reference Desk (CSERD) serves more than 4 million webviews per month as a Pathway portal of the National Science Digital Library. Dr. Panoff consults at several national laboratories and is a frequent presenter at NSF workshops on visualization, supercomputing, and networking. Dr. Panoff received his M.A. and Ph.D. in theoretical physics from Washington University in St. Louis, with both pre- and postdoctoral work at the Courant Institute of Mathematical Sciences at New York University. Dr. Panoff received an honorary Doctor of Science degree from Wofford College in 2005 in recognition of his leadership in computational science education.
Jose Gomez is currently a senior studying Aerospace Engineering at the University of Michigan in Ann Arbor, MI. He chose the aerospace industry because of his interests in space exploration and his studies have given me a deep appreciation for propulsion and structural analysis. For the past three years he have been on the structures sub-team of Michigan's Autonomous Aerial Vehicles team; his work with the team has focused on designing and fabricating custom composite airframes. In his freetime I enjoy reading science fiction and doing amateur stand-up comedy.
Alec has been on MAAV for nearly two years doing a variety of computer science and mechanical design. In addition to designing a heatsink and manufacturing various parts of the vehicle, Alec mostly focuses on Computer Vision techniques and optimizing the path planning algorithms. Alec also manages the navigation software development as well as all of MAAV's IT infrastructure.
Brock Palen and Jeff Squyres speak with Scott Klasky and Norbert Podhorszki about The Adaptable IO SYSTEM -- ADIOS an IO library with features to enable better performance and use for HPC.
Dr. Scott Klasky is a Distinguished Scientist and Group Leader of the Scientific Data Group in the computer science and mathematics division at ORNL . Dr. Klasky is also adjunct faculty at Georgia Tech University, University of Tennessee, and North Carolina State University. Dr. Klasky research interest are in Big Data and Scientific Computing.
Norbert Podhorszki is a Research Scientist in the Scientific Data Group at Oak Ridge National Laboratory. He is the lead developer of ADIOS. He works with application users of the Oak Ridge Leadership Facility to improve their I/O performance using ADIOS. His research interest is in how to enable data processing on-the-fly using memory-to-memory data movements,e.g. for speeding up I/O, coupling simulation codes, and building in-situ workflows.
Stanley Seibert is a software developer for Continuum Analytics working on the Numba project. He received a Ph.D. in experimental high energy physics from the University of Texas at Austin, and worked as a postdoc at Los Alamos National Laboratory and University of Pennsylvania. His research interests include Monte Carlo algorithms, Bayesian methods, optical simulation of particle detectors, and promoting the use of Python and GPUs in scientific computing.