Monday, September 27, 2010
Computer Studies Bldg. Room 209
Dr. Ali Butt
Virginia Polytechnic Institute
Decentralized Data Offloading and Staging for High-Performance Computing Centers
Modern scientific applications, such as computer models for analyzing information from particle colliders or space observatories, process data that is exponentially growing in size. High-performance computing (HPC) centers that support such applications are facing a data deluge, which can no longer be managed using ad hoc approaches in use today. Consequently, a reevaluation of the data management tools and techniques is required. In this talk, I will describe a fresh approach to HPC storage space management, especially for the center scratch space --- a high-speed storage used for servicing currently running and soon to run applications, which effectively treats the storage as a tiered cache and provides comprehensive integrated storage management. I will discuss how the caching model is achieved, and how its mechanisms are supported through timely offloading and just-in-time staging of data. Finally, I will show how this approach can also mitigate the effects of center storage failures. The overall goal is to improve HPC center serviceability and resource utilization.
Ali R. Butt is an Assistant Professor of Computer Science at Virginia Tech. Ali received his Ph.D. in Electrical and Computer Engineering from Purdue University in 2006. His research interests are in experimental computer systems, especially in data-intensive high-performance computing. His current work focuses on I/O and storage issues faced in modern HPC systems. Ali is a recipient of the NSF CAREER Award (2008), an IBM Faculty Award (2008), an IBM SUR Award (2009), and a Virginia Tech College of Engineering ?Outstanding New Assistant Professor? Award (2009). Ali was also an invited participant (2009) and an organizer (2010) for the NAE?s US Frontiers of Engineering Symposium.