PPT-MapReduce 2 http://www.google.org/flutrends/ca/

2012 Average Searches Per Day 5134000000 Motivation Process lots of data Google processed about 24 petabytes of data per day in 2009 A single machine cannot serve all the data. : Simplified Data Processing on Large Clusters. Jeffrey Dean & . Sanjay . Ghemawat. Appeared in:. OSDI '04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA, December, 2004. . Cloud, Part II: Search => Cluster Apps => Scalable Machine Learning. David E. Culler. . CS162 – Operating Systems and Systems Programming. Lecture 40. December 3, . 2014. Proj. : CP 2 . today. on the 7-Revolutions. Approach. Read. Watch. Listen. Interact. Investigate. Diverse Topics. Economic . Integration. population. Resources . Technology. Communication. Governance. Conflict. Great Sources On-Line. Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Marci . Hansen - . marci@sheerid.com. Two . reasons to search on Google. Either way, you need to look good. Formula for Success. Be the thought leader in your space. Get New Customers. Look Good on Google. Parallel Computing. MapReduce. Examples. Parallel Efficiency. Assignment. Parallel Computing. Parallel efficiency with . p. processors. Traditional parallel computing:. focus on compute intensive tasks. Kurt Ladendorf. Google’s Mantra. “Don’t be evil”. Buzz. Social network attempt. Automatic enrollment. Default setting to publicize E-mail recipients. Caused a class action lawsuit. Results in Google putting $8.5 million towards privacy education. MapReduce Framework . Michael T. Goodrich. Dept. of Computer Science. MapReduce. A . framework for designing computations for large clusters of computers.. Decouples . location . from data and computation. th. October at midnight. Format. Up to 4 pages in sig-alternate format, addressing. What is the problem. Why is it important. Why is it hard. What is your key idea or approach . Any initial results already shown. ”. Cathy O’Neil & Rachel . Schutt. , 2013. R & Hadoop. Compute squares. 2. R. # create a list of 10 integers. ints. <- 1:10. # equivalent to . ints. <- c(1,2,3,4,5,6,7,8,9,10). # compute the squares. Jimmy Lin. The iSchool. University of Maryland. Monday, March 30, 2009. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States. See http://creativecommons.org/licenses/by-nc-sa/3.0/us/ for details. Graph. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Online in 2007. Acquired by Google in 2010. Read-only in 2014. Basis for Google Knowledge Graph. Jeffrey Dean & . Sanjay . Ghemawat. Appeared in:. OSDI '04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA, December, 2004. . Presented by: . Hemanth. . Makkapati. Freebase. Started in 2005 by startup . Metaweb. Goal: create an “open, shared database of the world's knowledge”. Freebase online in 2007. Acquired by Google in 2010. Readonly. in 2014. Decommissioned in 2016.