PPT-Speedup Interactive Analytics

on Petabytes of Data on Azure Yang Li Cofounder amp CTO Kyligence Qixiao Wang Principal Technical Evangelist Microsoft James Baker Principal Software Engineer Microsoft. Your Name: [Text] . Title, Affiliation: [Text]. Contact Address: [Text]. mix.office.com. Administrators. Professional development. Leadership communications. Students. Project reports. Storytelling. . Parallel Speedup Estimates for Serial Programs. Donghwan. . Jeon. , . Saturnino. Garcia, Chris. Louie, . and Michael Bedford Taylor. Computer Science and Engineering. University of California, San Diego. : . A . Toolchain. To Help Parallel Programming . Minjang Kim, Hyesoon Kim, . HPArch. Lab, and Chi-Keung . Luk. Intel. This work will be also supported by Samsung. Motivation (1/2). Parallel programming is hard. Through . Barrier-Interval Time-Parallelism . Paul D. Bryan, . Jason A. . Poovey. , Jesse G. . Beu. , Thomas M. . Conte. Georgia Institute of Technology. Outline. Introduction. Multi-threaded Application Simulation Challenges. We will use a quantitative approach to analyze architectures and potential improvements and see how well they work (if at all). We study RISC instruction sets to promote instruction-level, block-level and thread-level parallelism. Shuochao Yao, Yiwen Xu, Daniel Calzada. Network Compression and Speedup. 1. Source: . http://isca2016.eecs.umich.edu/. wp. -content/uploads/2016/07/4A-1.pdf. Network Compression and Speedup. 2. Why smaller models?. Ethan . Kinory, Ph.D.. Ethan.Kinory@Rutgers.edu. Elearning. conference Rutgers-Camden. April 7, 2016. Office Mix. A free add-in for . Powerpoint. 2013+ (can be played back on any device).. Markup ordinary . Amanda McGowan. Seer Interactive. Overview. Overview of Digital Analytics. Purpose. Data Types. Social Analytics. Strategy & Setup. Interpreting the Data. Applying the Data. © 2015 Seer Interactive . Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . Tufts. Remco. Chang. Assistant Professor. Tufts University. Problem Statement. The growth of data is exceeding our ability to analyze them. . The amount of digital information generated in the years 2002, 2006, 2010:. quantitative approach to analyze architectures and potential improvements and see how well they work. We study RISC instruction sets to promote . instruction-level, block-level and thread-level parallelism. Interactive Extreme-Scale Analytics . A . SDE. for Interactive Extreme-Scale Analytics. 1. Motivation – using synopses for analytics at scale. 2. A SDE for Interactive Extreme-Scale Analytics. Big . Performance of Computer System. Various factors. Depends on. Scalability: . Computer Performance . Number of processors used. Measuring performance of parallel computer architecture for large-scale applications require very good understanding of...