PPT-On The Reproducibility of Large Scale Computer Applications

Justin Y Shi shitempleedu Temple University reproducibilityXSEDE An XSEDE14 Workshop July 14 2014 Atlanta GA Why Decoupling can I mprove P rogram Reproducibility. MILHOLLAND University of Michigan IN evaluating the adequacy of a unidimensional scale as description of response patterns obtained from a set of items with two response categories Guttman 2 uses what he calls a coefficient of reproducibility It con Introduction to Computers. What is a Computer?. A . co. mp. uter. is . . .. a . machine. that manipulates . data. according to a list of . instructions. .. A . machine. is anything that makes work easier.. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . Electricity from Biomass –. A competitive alternative for base load electricity production in large-scale applications and an interesting opportunity for small-scale CHP systems. Ingwald Obernberger. vision. Applications and Algorithms in CV. Tutorial . 9:. Descriptors. Visual Descriptors. Motivation::. Scene Classification. I. ntroduction. How to differentiate between scenes?. Applications and Algorithms in CV. Thomas Steckler. FORCE2015, Oxford, 12-13 Jan 2015. 2. The Pillars of Good Scientific Practice. Reproducibility. Robustness. Relevance. SCIENCE. 3. Should Scholarly Research Aim . for . Reproducibility or Robustness?. Subhransu Maji Electrical Engineering and Computer SciencesUniversity of California at BerkeleyTechnical Report No. UCB/EECS-2011-79http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-79.htmlJul Abstract. Cloud computing economically enables customers with limited computational resources to outsource large-scale computations to the cloud. . However, how to protect customers’ confidential data involved in the computations then becomes a major security concern. In this paper, we present a secure outsourcing mechanism for solving large-scale systems of linear equations (LE) in cloud.. Concurrent Objects. -. Second Life, Twitter Systems, and . Molecular Dynamics Computing-. Akinori. . Yonezawa. Christmas Lecture. University of Tokyo, December 22, 2009. What is this talk all about?. Kirak. Hong, David . lillethun. , . umakishore. Ramachandran, . beate. . ottenwalder. , . boris. . koldehofe. contents. Motivation. Future Internet Applications. Fog Computing. Programming Model. Lessons from the . Madagascar Project. Sergey Fomel. Jackson School of Geosciences. The University of Texas at Austin. ICERM Reproducibility . in Computational and Experimental Mathematics. 12/13/2012. D12. . TinyOS. Applications Outline. AntiTheft. . Example . {done in gradual pieces}. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Single Hop Networks. Active Messages interface. 7/12/2014. CSE651C, B.Ramamurthy. 1. Big-Data computing. 7/12/2014. 2. What is it?. Volume, velocity, variety, veracity (uncertainty) (Gartner, IBM). How is it addressed? . Why now? . What do you expect to extract by processing this large data?. Ashvin Goel. Electrical and Computer Engineering. University of Toronto. ECE 1724, Winter 2020. Topics. Overview of the course. Class format. Introduction to the course. My Research Background. S. ystems software.