PPT-ICICLES: Self-tuning Samples for Approximate Query Answerin

By Venkatesh Ganti Mong Li Lee and Raghu Ramakrishnan Shruti P Gopinath CSE 6339 Outline Introduction and background Icicles Icicle Maintenance IcicleBased Estimators. 1 1 .functionPoint(x,y){varself={};self.x=x;self.y=y;self.setX=function(d:number){self.x=d;};returnsetTag(point)(self);}ThefunctionPointcreatesanewpoint.Itallocatesanewemptyrecordandstoresitinthelocal 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. Sulabha Balan. ICICLES: Self-tuning Samples for Approximate Query Answering. By . Venkatesh. . Ganti. , . Mong. Li Lee, and . Raghu. . Ramakrishnan. CSE 6339 . Introduction. Icicles. Icicle Maintenance. Hardware: Challenges and Opportunities. Author. : Bingsheng He. (Nanyang Technological University, Singapore) . Speaker. : . Jiong . He . (Nanyang Technological University, Singapore. ). 1. What is Approximate Hardware?. Paolo Romano. Based on ICAC’14 paper. N. . . Diegues. and Paolo Romano. Self-Tuning Intel Transactional Synchronization Extensions. 11. th . USENIX International Conference . on Autonomic Computing (. When and How to Improve Code Performance?. Ivaylo Bratoev. Telerik Corporation. www.telerik.com. Actual . vs. Perceived Performance. Example: . “Vista's file copy performance is noticeably worse than Windows XP” . CMOS. Advisor: Dr. . Adit D. Singh. Committee members: Dr. . Vishwani. D. . Agrawal. and Dr. . . Victor P. Nelson. Department of Electrical and Computer Engineering. Masters P. roject . D. efense . By Hilary . Janysek. What’s the difference?. Intonation: . . (noun) The correct or accurate pitching (placement) of intervals; the capacity to play or sing in tune.. Tuning: . . (verb) to adjust to the correct or given standard of pitch. . S. liding Mode Control. Application of an Auto-Tuning Neuron. to Sliding Mode Control. Wei-Der Chang, Rey-Chue Hwang, and Jer-Guang . Hsieh. IEEE . TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 32, NO. 4, NOVEMBER . Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/01/2015. Outline. Background. Pitfalls & Fallacies. Practical Guidelines. 2. 12/01/2015. On Quantification of Accuracy Loss in Approximate Computing. 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. Daimeng Zhang, . Melissa . Trepanier. , Oleg . Mukhanov. ,. . Steven . M. Anlage. NSF-GOALI ECCS-1158644. Fall 2013 MRS Meeting. 2 December, 2013. Phys. Rev. X (in press); arXiv:1308.1410. Outline. Brief Introduction to Superconducting Metamaterials and SQUIDs. Computation Circuits. Wei-Ting Jonas Chan. 1. , Andrew B. Kahng. 1. , . Seokhyeong Kang. 1. , . Rakesh. Kumar. 2. , and John Sartori. 3. 1. VLSI . CAD LABORATORY, . UC San Diego. 2. PASSAT GROUP, Univ. of Illinois. Matagorda County, TX. CE 394K Fall 2017. Sydney Kase. Essential Questions. Why does FEMA create the . NFHL. and . FIRM. maps?. Why does it take so long to produce effective floodplain maps?. What does the .