{"599030":{"#nid":"599030","#data":{"type":"event","title":"PhD Proposal by Ching-Kai Liang","body":[{"value":"\u003Cp\u003ETitle: Model, Predict, and Mitigate Scalability Bottlenecks for Parallel Application on Many-core Processors\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nChing-Kai Liang\u003Cbr \/\u003E\r\nPh.D. Student\u003Cbr \/\u003E\r\nSchool of Computer Science\u003Cbr \/\u003E\r\nCollege of Computing\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDate: Monday, November 27 2017\u003Cbr \/\u003E\r\nTime: 10:00AM - 12:00PM (EDT)\u003Cbr \/\u003E\r\nLocation: Klaus 2100\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nCommittee:\u003Cbr \/\u003E\r\nDr. Milos Prvulovic (Advisor, School of Computer Science, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Hyesoon Kim (School of Computer Science, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Moinuddin Qureshi\u0026nbsp;(School of Computer Science, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Sudhakar Yalamanchili (School of Electrical and Computer Engineering, Georgia Institute of Technology)\u003Cbr \/\u003E\r\nDr. Christopher Hughes (Intel Labs, Intel)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nAbstract:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn recent years, the number of processor cores on a single chip has increased rapidly, ranging from hundreds of cores in server processors to tens of cores on mobile processors.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe abundant number processing cores have led to application developers investing in parallizing applications in order to extract the maximum performance from many-core processors.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHowever, ensuring the continuous scaling of parallel applications is challenging on many-core processors, due to the complex relationship of available parallelism in application and the limited shared on-chip resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this thesis, I will propose microarchitecture solutions to mitigate the scaling bottleneck as well as a new performance model to\u0026nbsp;predict the how applications will scale on many-core processors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst, I will propose MiSAR, a minimalistic synchronization accelerator that supports all three commonly used types of synchronization (locks, barriers, and condition variables),\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eand a novel overflow management unit that dynamically manages its (very) limited hardware synchronization resources.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESecond, I will propose a new performance model that captures program characteristics of multi-threaded applications, allowing it to use few-threaded runs to predict performance of many-threaded runs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Model, Predict, and Mitigate Scalability Bottlenecks for Parallel Application on Many-core Processors "}],"uid":"27707","created_gmt":"2017-11-21 17:58:31","changed_gmt":"2017-11-21 17:58:31","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2017-11-27T10:00:00-05:00","event_time_end":"2017-11-27T12:00:00-05:00","event_time_end_last":"2017-11-27T12:00:00-05:00","gmt_time_start":"2017-11-27 15:00:00","gmt_time_end":"2017-11-27 17:00:00","gmt_time_end_last":"2017-11-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}