{"194221":{"#nid":"194221","#data":{"type":"event","title":"SCS Talk: Hadi Esmaeilzadeh, University of Washington","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMulticore scaling\u2014increasing the number of cores per die each generation\u2014is currently the principal strategy of the microprocessor industry for continuing performance growth. As I will present in this talk, the results of our dark silicon study show that core count scaling will not provide the performance and value needed to scale down many more technology generations. This impending end of continued performance scaling and the looming end of Moore\u2019s Law will be disruptive for the entire computing community. Significant departures from conventional approaches are needed to provide continued performance and efficiency gains in general-purpose computing. I will talk about general-purpose approximate computing as a new possible direction. I will then present a new class of accelerators, called Neural Processing Units. NPUs leverage an approximate algorithmic transformation that converts regions of code from a Von Neumann model to a neural model. Our work shows significant gains when the abstraction of full precision is relaxed in general-purpose computing and opens new venues for research.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EHadi Esmaeilzadeh is a Ph.D. candidate in the Department of Computer Science and Engineering at University of Washington. He has a master\u2019s degree in Computer Science from The University of Texas at Austin and a master\u2019s degree in Electrical and Computer Engineering from University of Tehran. Hadi is interested in developing new technologies and cross-stack solutions to improve the performance and energy efficiency of computer systems for emerging applications.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESCS Talk: Hadi Esmaeilzadeh, University of Washington\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;Approximate Acceleration for a Post-Multicore Era\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u0026nbsp;\u003C\/strong\u003EHadi Esmaeilzadeh is a Ph.D. candidate in the Department of Computer Science and Engineering at University of Washington. He has a master\u2019s degree in Computer Science from The University of Texas at Austin and a master\u2019s degree in Electrical and Computer Engineering from University of Tehran. Hadi is interested in developing new technologies and cross-stack solutions to improve the performance and energy efficiency of computer systems for emerging applications.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Approximate Acceleration for a Post-Multicore Era"}],"uid":"27734","created_gmt":"2013-02-21 11:35:12","changed_gmt":"2016-10-08 02:02:42","author":"Antonette Benford","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2013-03-07T10:00:00-05:00","event_time_end":"2013-03-07T11:00:00-05:00","event_time_end_last":"2013-03-07T11:00:00-05:00","gmt_time_start":"2013-03-07 15:00:00","gmt_time_end":"2013-03-07 16:00:00","gmt_time_end_last":"2013-03-07 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"191421":{"id":"191421","type":"image","title":"Hadi Esmaeilzadeh","body":null,"created":"1449179858","gmt_created":"2015-12-03 21:57:38","changed":"1475894841","gmt_changed":"2016-10-08 02:47:21","alt":"Hadi Esmaeilzadeh","file":{"fid":"196282","name":"hadi_esmaeilzadeh_candidate.jpg","image_path":"\/sites\/default\/files\/images\/hadi_esmaeilzadeh_candidate_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/hadi_esmaeilzadeh_candidate_0.jpg","mime":"image\/jpeg","size":139428,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hadi_esmaeilzadeh_candidate_0.jpg?itok=Abe2dsaf"}}},"media_ids":["191421"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EHyesoon Kim \u003Ca href=\u0022mailto:hyesoon@cc.gatech.edu\u0022\u003Ehyesoon@cc.gatech.edu\u003C\/a\u003E or 404-385-3303\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}