|Moving From Data to Insights—Addressing Data Challenges in Simulation-Based Science|
Date: Thursday, 13 June 2013
12:00 PM ET / 9:00 AM PT / 16:00 GMT (Duration: 1 hour)
Data-related challenges are quickly dominating computational and data-enabled sciences, and are limiting the potential impact of end-to-end coupled application formulations enabled by current high-performance distributed computing environments. These data-intensive application workflows present significant data management, transport and processing challenges, involving dynamic coordination, interactions and data-coupling between multiple application process that run at scale on different high performance resources, and with services for monitoring, analysis and visualization and archiving. In this presentation I will explore the data grand challenges of simulation-based science application workflows and investigate how solutions based on managed data pipelines, in-memory data-staging, in-situ placement and execution, and in-transit data processing can be used to address some of these data challenges at petascale and beyond.
About the Speaker
is Professor of Electrical and Computer Engineering at Rutgers University. He is also the founding Director of the Rutgers Discovery Informatics Institute (RDI2), the NSF Cloud and Autonomic Computing Center (CAC) at Rutgers (CAC@Rutgers) and the The Applied Software Systems Laboratory (TASSL), and is Associate Director of the Rutgers Center for Information Assurance (RUCIA). He recently served as Program Director in the Office of Cyberinfrastructure (OCI) at the National Science Foundation (NSF), where he managed an approximately $150 Million research portfolio in the areas of software sustainability, computational and data-enabled science and engineering and cloud computing. At NSF, he established and led the crosscutting Software Infrastructure for Sustained Innovation (SI2) program, the CI TraCS Computational Science Fellowship programs, was involved in establishing the Computing in the Cloud (CiC) program, and worked on the NSF-wide Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) initiative. His research interests are in the broad area of Parallel and Distributed Computing with a focus on Computational and Data-Enabled Science and Engineering. Manish received a BE in electronics and telecommunications from Bombay University, India, and an MS and PhD in computer engineering from Syracuse University.
About the Moderator
Caron B. Kogan is the Strategic Planning Director for Big Data within IS&GS of Lockheed Martin (LM) and is responsible for leading the strategy and implementation of IS&GS’s Big Data initiatives and investments. Ms. Kogan has more than 20 years executive management experience in computer, communications and financial industries with national and international firms. She has led business strategy, product development, information technology (IT), customer care, field operations and engineering for start-up and high-growth companies. Having managed programs that developed and implemented solutions for Business Intelligence, CRM and Enterprise Applications, she brings experience from both, the perspective of a customer, and that of a vendor. Ms. Kogan holds a Bachelor’s of Engineering and Masters of Management Science from Stevens Institute of Technology and is currently a resident of Maryland.