PPT-Reconfigurable MapReduce Framework & Accelerator

Presented By Shefali Gundecha Srinivas Narne Yash Kulkarni Papers to be discussed Y Shan B Wang J Yan Y Wang N Xu and H Yang   FPMR MapReduce Framework on FPGA A Case Study of . Don Hartill on behalf of the Subpanel. HEPAP Meeting 12/8/2014. HEPAP Meeting 12/8/2014. 1. Outline. Subpanel was formed in response to . a . 2013 OHEP COV. recommendation (. follows three previous Subpanels on Accelerator R&D). YODA Project &. Discussion of . FPGAs. Lecturer:. Simon Winberg. Digital Systems. EEE4084F. Lecture Overview. YODA Project. FPGA Families. Early Notice:. Quiz next. Thursday!. Quiz . 3 . next. Thursday . , 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. by . Ahmed . Alawneh. , Mohammed Mansour and . Alaa. . Rawajbeh. . The supervisor: Dr. . Allam. . Mousa.  . . 2014. An-. Najah. National University . Fuculty. of Engineering . Telecommunication Engineering Department . Rathijit. Sen. Computer Sciences. May 13, 2016. 5/13/2016. UNIVERSITY OF WISCONSIN-MADISON. 1. Conventional Wisdom. “. We see that peak energy efficiency occurs at peak utilization and drops quickly as utilization decreases.. 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, . Chris Morales. Kaz . Onishi. 1. Wireless Sensor Networks. Expected to be :. Autonomous. Low Power. Context aware. Flexible. Can have thousands of nodes spread out. Makes development and support complicated. Yasin N. Silva and Jason Reed. Arizona State University. 1. This work is licensed under a Creative Commons Attribution-. NonCommercial. -. ShareAlike. 4.0 International License. See http://creativecommons.org/licenses/by-nc-sa/4.0/ for details.. Tor Raubenheimer. Stanford Graduate Student Orientation. September 20, 2012. What are accelerators?. Wikipedia: A . particle accelerator. is a device that uses . electromagnetic fields. to propel . Stuart Henderson. Fermilab. January 13, 2012. Accelerator Driven Systems. High-power, highly reliable proton accelerator. ~1 . GeV. beam energy. ~1 MW of beam power for demonstration. Tens of MW beam power for Industrial-Scale System. Aug 6, 2016. Masanori . Matsuoka. Secretary General, . A. dvance . A. ccelerator . A. ssociation. promoting science and technology. 1. Contents. 2. AAA activities. Accelerator Science and Industry. Source. MapReduce. : Simplified Data Processing in Large Clusters. . Jefferey. Dean and Sanjay . Ghemawat. . OSDI 2004. Example Scenario. 3. Genome data from roughly . one million users. 125 MB of data per user. 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.