{"65350":{"#nid":"65350","#data":{"type":"event","title":"Ph.D. Defense of Dissertation: M. Hasan Abbasi","body":[{"value":"\u003Cp\u003ECommittee:\u003C\/p\u003E\u003Cp\u003EDr. Karsten Schwan, Advisor, College of Computing\u003Cbr \/\u003EDr. Matthew Wolf, College of Computing\u003Cbr \/\u003EDr. Scott Klasky, Oak Ridge National Laboratory\u003Cbr \/\u003EDr. Rich Vuduc, College of Computing\u003Cbr \/\u003EDr. Ron. A. Oldfield, Sandia National Laboratory\u003Cbr \/\u003E\u003Cbr \/\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EThe exponential growth of data produced by scientific simulations on leadership class HPC machines has exposed the importance of the I\/O bottleneck which can cripple the progress of scientific understanding in many important national interest domains.\u003Cbr \/\u003EThe size of the data has also exposed difficulties in current methods of information extraction from this generated data and its reliance on post processing based data exploration. The accelerating growth in computational capability compared to the growth of I\/O bandwidth has created a large imbalance. This imbalance is a bottleneck that limits our ability to exploit the performance of current generation machines and will play an even greater role in limiting the efficient utilization of next generation systems.\u003C\/p\u003E\u003Cp\u003EIn this thesis I present a significant shift in how data management and I\/O are dealt with on these high end computing systems. In particular, I present the Data Service abstraction, which addresses data management and information extraction as an integral part of the data generation and output process. A data service is a combination of coupled plugins operating on output data to both extract information from the data and to also prepare the data for further analysis. I also address some of the fundamental requirements in creating dynamic functional I\/O pipelines such as the ability to extend the output from a stream of bytes to a self describing structure, the overhead of data movement and processing on application performance and the management of available resources for the data service. I also use available technologies such as RDMA and structured serialization along with the development of new abstractions such as data staging resources to address these challenges. The thesis will also present the utility of these data services for real applications in the materials and fusion domain and evaluate the functionality of data services for these domains.\u003C\/p\u003E\u003Cp\u003EHasan Abbasi\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/\/www.cc.gatech.edu\/~habbasi\/\u0022 title=\u0022http:\/\/\/www.cc.gatech.edu\/~habbasi\/\u0022\u003Ehttp:\/\/\/www.cc.gatech.edu\/~habbasi\/\u003C\/a\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Data Services: Bringing Data Processing into the Petascale Age"}],"uid":"27466","created_gmt":"2011-04-04 13:18:11","changed_gmt":"2016-10-08 01:54:42","author":"Dani Denton","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2011-04-15T12:00:00-04:00","event_time_end":"2011-04-15T14:00:00-04:00","event_time_end_last":"2011-04-15T14:00:00-04:00","gmt_time_start":"2011-04-15 16:00:00","gmt_time_end":"2011-04-15 18:00:00","gmt_time_end_last":"2011-04-15 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"12650","name":"Defense of Dissertation"},{"id":"695","name":"petascale"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDani Denton\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:denton@cc.gatech.edu\u0022\u003Edenton@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}