PPT-On Quantification of Accuracy Loss in Approximate Computing

Author : faustina-dinatale | Published Date : 2018-03-21

Ulya R Karpuzcu ukarpuzcumnedu 12012015 Outline Background Pitfalls amp Fallacies Practical Guidelines 2 12012015 On Quantification of Accuracy Loss in Approximate

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On Quantification of Accuracy Loss in Approximate Computing: Transcript

Ulya R Karpuzcu ukarpuzcumnedu 12012015 Outline Background Pitfalls amp Fallacies Practical Guidelines 2 12012015 On Quantification of Accuracy Loss in Approximate Computing. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc brPage 1br Event Quantification and Distributivity John made a chair John and Bill made a chair Otokonoko sannin isu brPage 2br Drei Jungen Otokonoko sannin Jungen drei brPage 3br Michael . Carbin. with . Sasa. . Misailovic. , Hank Hoffmann. , . Deokhwan. . Kim, . Stelios. . Sidiroglou. , Martin . Rinard. MIT. Challenges for Programming. Expression (specifying approximations). of Integrity. Michael Clarkson and Fred B. Schneider. Cornell University. Programming Languages Seminar. Harvard University. October 13, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. By Venkatesh Ganti, Mong Li Lee, and Raghu Ramakrishnan. CSE6339 – Data exploration. Raghavendra Madala. In this presentation…. Introduction. Icicles. Icicle Maintenance. Icicle-Based Estimators. . spreading. : . children. . misled. . by. . ostensive. . cues. Katalin É. Kiss & Tamás Zétényi. Research Institute . for. . Linguistics. of . the. . Hungarian. . Academy. of . Sciences. Lecture One. Paul . Constantine. March 29, 2011. What is UQ???. Uncertainty Quantification – ME470. Paul Constantine. Combining computational models, physical observations, and possibly expert . judgment . Michael Clarkson and Fred B. Schneider. Cornell University. IEEE Computer Security Foundations Symposium. July 17, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. of Integrity. Michael Clarkson and Fred B. Schneider. Cornell University. SnT. Seminar. University of Luxembourg. September 9, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. University of Washington. Adrian Sampson, . Hadi. Esmaelizadeh,. 1. Michael . Ringenburg. , . Reneé. St. Amant,. 2. . Luis . Ceze. , . Dan Grossman. , Mark . Oskin. , Karin Strauss,. 3. and Doug Burger. Session #35. Dr. . Qassim . Abdullah, Woolpert, Inc.. Pierre Le Roux, Aerometric, Inc.. Becky Morton, . Towill. , Inc.. 1. New ASPRS . Positional Accuracy Standards for . Digital Geospatial . Data. Drafting Committee:. Milos Gligoric. 1. , Sarfraz Khurshid. 1. , Sasa Misailovic. 2. , . August Shi. 2. ICSE NIER 2017. Buenos Aires, . Argentina. May 24, 2017. 1. CCF-1409423, CCF-1421503,. CCF-1566363, CCF-1629431,. CCF-1319688, CNS-1239498. Michael Carbin. Deokhwan. Kim, . Sasa. . Misailovic. , and Martin C. . Rinard. Approximate Computing. Media Processing, Machine Learning, Search. Solution Space: Accuracy versus Cost. Accuracy. Time/. Vaginal Delivery. A Step by Step Guide. WHY DO WE CARE ABOUT QBL?. Current. recommendations:. 1) After . delivery of baby, provider and primary RN agree on amniotic fluid level in calibrated drape and .

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