PPT-Approximate History Map

for Massively Parallel Environments University of Tokyo Seongsoo Moon Background amp Motivation Combinatorial search Challenging huge search space Restart Branching heuristic Learning during search. 601 Roaring Brook TOWNSHIP LINE Amwell Road Rt 514 BUCKEYE PIPELINE TEXAS EASTERN PIPELINE MONTGOMERY TOWNSHIP HILLSBOROUGH TOWNSHIP Ent ance Zion Road East Mountain Road East Mountain Roosevelt TOWNSHIP LINE Zion Road Clark Held Biggs Featherbed Pl 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. Muhammad (PBUH). November 19, 2003. Ramadan 24, 1424. Prepared by Amin Kamel. Brief Description . of the Event. . Age of the Prophet . according to Lunar Calendar. (Approximate Date). Approximate Hijra dates . Hardware: Challenges and Opportunities. Author. : Bingsheng He. (Nanyang Technological University, Singapore) . Speaker. : . Jiong . He . (Nanyang Technological University, Singapore. ). 1. What is Approximate Hardware?. By Venkatesh Ganti, Mong Li Lee, and Raghu Ramakrishnan. CSE6339 – Data exploration. Raghavendra Madala. In this presentation…. Introduction. Icicles. Icicle Maintenance. Icicle-Based Estimators. Constant. Imply. Specify. Civil . implicate. Series. Component. Approximate. Principal. therefore. Write the word and its definition. Constant: Not changing or varying – The water was at a constant temperature. Christopher . Ré. and Dan . Suciu. University of Washington. Approximate Lineage in One Slide. Lineage (Provenance) . In QP used to track correlations. Explain query/view results. VLDBs have lots of lineage. asynchornous. systems. Hammurabi Mendes, Maurice . Herlihy. Presented By: Gil . Einziger. 1. Model And assumptions:. A. synchronous. . message passing. . t – processes that may crush or fail, and even be byzantine.. Overview of the Material. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. A. Outline. 2. Type of structures considered. Andrew B. Kahng, . Seokhyeong Kang . VLSI CAD LABORATORY, . UC. San Diego. 49. th. Design Automation Conference. June 6. th. , 2012. Outline. Background and Motivation. Accuracy Configurable Adder Design. 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. 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. Mayuri. Sridhar. Ronald L. . Rivest. Overview. We present a new way of picking a random sample for election audits. This method avoids having to count ballots and, thus, is more efficient. However, the sample is now only “approximately uniformly” random..