PDF-MapReduce for Machine Learning on Multicore ChengT ao Chu chengtaostanford

Author : tatiana-dople | Published Date : 2014-11-16

edu Sang Kyun Kim skkim38stanfordedu YiAn Lin ianlstanfordedu YuanYuan Yu yuanyuanstanfordedu Gary Bradski 8727 garybradskigmail Andrew Y Ng angcsstanfordedu Kunle

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MapReduce for Machine Learning on Multicore ChengT ao Chu chengtaostanford: Transcript


edu Sang Kyun Kim skkim38stanfordedu YiAn Lin ianlstanfordedu YuanYuan Yu yuanyuanstanfordedu Gary Bradski 8727 garybradskigmail Andrew Y Ng angcsstanfordedu Kunle Olukotun kunlecsstanfordedu CS Department Stanford University 353 Serra Mall Stanford. CCGSC. September 15 . 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. 2. Gartner 2008 Technology Hype Curve. and . Hadoop. Debapriyo Majumdar. Data Mining – Fall 2014. Indian Statistical Institute Kolkata. November 10, 2014. Let’s keep the intro short. Modern data mining: process immense amount of data quickly. – . From hardware prospective to software. Presenter: D96943001 . 電子所 陳泓輝. Why Moore’s Law is die. He is not CEO anymore!!. Walls => ILP, Frequency, Power, Memory walls. ILP – more cost less return. , Collective Communication, and Services. Oral Exam, . Bingjing. Zhang. Outline. MapReduce. MapReduce. Frameworks. Iterative . MapReduce. Frameworks. Frameworks Based on . MapReduce. and Alternatives. Simplified Data Processing on Large . Clusters. by Jeffrey Dean and Sanjay . Ghemawa. Presented by Jon Logan. Outline. Problem Statement / Motivation. An Example Program. MapReduce. . vs. Hadoop. GFS / HDFS. Multicores. Minshu. Zhao. Outline. Introduction. Review of Power management technique. Power management in . Multicore. Identify . Multicores. Characteristics. Apply power management technique. Future of . G. Narayanaswamy. , . P. Balaji. and . W. Feng. Dept. of Comp. Science. Virginia Tech. Mathematics and Comp. Science. Argonne National Laboratory. High-end Computing Trends. High-end Computing (HEC) Systems. By . Yufei. Tao, . Wenqing. . Lin, . Xiaokui. . Xia. Edited by Tuval Rotem. First topic:. What is MapReduce. But first…. Regular day at work. You’re doing your regular work while suddenly your boss, . Multicore Panel at eScience 2008. December . 11 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. Lessons. Not surprising . réalité. Pr . Jean-Luc DUBOIS-RANDÉ . Président . de . la Conférence . des . doyens des facultés de médecine. 1. Attractivité du CHU. Problématique. La carrière H et HU avait (et garde) son prestige . and . Devavrat. Shah. Flowtune. Flowlet. Control for. Datacenter Networks. Response Time: Productivity, Revenue. , Reputation. microservices. . . . develop  network is central. deploy. ”. 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. MapReduce. Architecture. MapReduce. Internals. MapReduce. Examples. JobTracker. Interface. MapReduce. : A Real World Analogy. Coins Deposit. ?. MapReduce. : A Real World Analogy. Coins Deposit. Coins Counting Machine.

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