PPT-William Rory Kronmiller Iterative Computing on Massive Data Sets

Why Do I Care Some Companies Using Spark Alibaba Amazon Baidu Berkeley AMPLab CERN Concur Databricks eBay Facebook NASA JPL Opentable Tencent TripAdvisor Some Things You Can Do With Spark. S. A. L. S. A. . HPC Group . http://. salsahpc.indiana.edu. School of Informatics and Computing. Indiana University. Judy . Qiu. . Thilina. . Gunarathne. . CAREER Award. Outline. Iterative . Course Introduction. Mining of Massive Datasets. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . 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. 5.1.4BoxPlotsusingR.................................325.1.5Summaryofboxplot...............................345.2Probabilityplotting....................................355.2.1ProbabilityplottingusingJMP Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . HPC(Exascale) . Systems. June 24 2012. HPC . 2012 . Cetraro. , Italy. Geoffrey Fox. gcf@indiana.edu. . Informatics, Computing and Physics. Indiana . University . Bloomington. Science Computing Environments. Acknowledgement. G. . . Ancellet. , O. R. . Cooper, J. . Cuesta, G. . Dufour. , F. . Ebojie. , G. Huang, S. S. . Kulawik. , B. Latter, T. Leblanc, J. Liu, X. Liu, J. . Neu. , H. . Petetin. , I. . Petropavlovskikh. The Second International Workshop on . Data Intensive Computing in the Clouds (DataCloud-SC11) . at SC11. November 14 2011. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . 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. on . Clouds. Thilina. . Gunarathne. (tgunarat@indiana.edu). Advisor : . Prof.Geoffrey. . Fox (gcf. @indiana.edu). Committee . : . Prof.Judy. . Qiu. , . Prof.Beth. . Plale. , . Prof.David. . Leake. 1. Lecture 4. Fuzzy expert systems: . Fuzzy logic. Introduction, or what is fuzzy thinking?. Fuzzy sets. Linguistic variables and hedges. Operations of fuzzy sets. Fuzzy rules. The Benefits of Reading Books,Most people read to read and the benefits of reading are surplus. But what are the benefits of reading. Keep reading to find out how reading will help you and may even add years to your life!.The Benefits of Reading Books,What are the benefits of reading you ask? Down below we have listed some of the most common benefits and ones that you will definitely enjoy along with the new adventures provided by the novel you choose to read.,Exercise the Brain by Reading .When you read, your brain gets a workout. You have to remember the various characters, settings, plots and retain that information throughout the book. Your brain is doing a lot of work and you don’t even realize it. Which makes it the perfect exercise! Adapted from a talk by. : . Sapna. Jain & R. . Gokilavani. Some slides taken from . Jingren. Zhou's talk on Scope :. isg.ics.uci.edu/slides/MicrosoftSCOPE.pptx. Map-reduce framework. Good abstraction of group-by-aggregation operations.