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ORGANIZER;CN="Gupta, Sumeet Kumar":mailto:guptask@purdue.edu
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 y@ecn.purdue.edu:mailto:ecefaculty@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN='ecegrads
 tudent-list@ecn.purdue.edu':mailto:ecegradstudent-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecepostdo
 cs-list@ecn.purdue.edu:mailto:ecepostdocs-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=BNC-EngSt
 aff:mailto:BNC-EngStaff@groups.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=bnc-facul
 ty-all-list@ecn.purdue.edu:mailto:bnc-faculty-all-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Jishen Zh
 ao:mailto:jzhao@eng.ucsd.edu
ATTACH:CID:E235F7FEDA513549825F3CAB64B3B23E@namprd22.prod.outlook.com
DESCRIPTION;LANGUAGE=en-US:Hello\n\nIt is my great pleasure to host Prof. J
 ishen Zhao\, University of California San Diego for hertalk in the ECE Sem
 inar Series. The details are below and attached. Hope to see you in the se
 minar.\n\nThanks\n\nSumeet\n\n\nWhen: August 05\, 2021 (Thursday)\, 1:30 P
 M – 2:30 PM (ET)\n\n\nWhere: https://purdue-edu.zoom.us/j/3164232249\n\n
 \nTitle: Learn to Program: Assisting Programming with Machine Learning\n\n
 \n\nAbstract: The organization of computer systems is becoming increasingl
 y complex and heterogeneous in both software and hardware. Various hardwar
 e accelerators and device technologies breed the development of new progra
 mming models and libraries. Currently most of the programming burden is pl
 aced on programmers\, who need to implement new programs or rewrite legacy
  code using new libraries and APIs. That often imposes a steep learning cu
 rve and non-trivial labor efforts on coding\, debugging\, and performance 
 tuning. Machine learning is demonstrated to foster promising solutions to 
 automate various aspects of coding and program optimization. This talk wil
 l discuss our efforts on making machine learning techniques feasible for a
 ddressing such real-world programming challenges with automatic program tr
 anslation and optimization\, including (1) a deep reinforcement learning a
 pproach to assist programming of persistent memory\, which is a new memory
  technology recently brought to production by Intel\, (2) neural-based dec
 ompilation frameworks that address several practical problems of translati
 ng binary executables to high-level code\, (3) a deep symbolic superoptimi
 zation framework without requiring human knowledge\, and (4) a reference i
 dentification and reasoning network for program translation.\n\n\nSpeaker 
 Bio: Jishen Zhao is an Associate Professor in the Computer Science and Eng
 ineering Department at University of California\, San Diego. Her research 
 is at the boundary of computer architecture and systems\, particularly on 
 memory systems\, machine learning for systems\, and reliability. Before jo
 ining academia\, she was a research scientist at HP Labs. She is a recipie
 nt of NSF CAREER award\, a MICRO best paper honorable mention award\, and 
 a member of MICRO Hall of Fame.\n
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SUMMARY;LANGUAGE=en-US:Webinar by Prof. Jishen Zhao\, UCSD on "Learn to Pro
 gram: Assisting Programming with Machine Learning" 
DTSTART;TZID=Eastern Standard Time:20210805T133000
DTEND;TZID=Eastern Standard Time:20210805T143000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20210730T031152Z
TRANSP:OPAQUE
STATUS:CONFIRMED
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