PPT-Understanding Big Data Applications and Architectures

Author : karlyn-bohler | Published Date : 2016-06-09

1st JTC 1 SGBD Meeting SDSC San Diego March 19 2014 Geoffrey Fox Judy Qiu Shantenu Jha Rutgers gcfindianaedu httpwwwinfomallorg School of Informatics and Computing

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Understanding Big Data Applications and Architectures: Transcript


1st JTC 1 SGBD Meeting SDSC San Diego March 19 2014 Geoffrey Fox Judy Qiu Shantenu Jha Rutgers gcfindianaedu httpwwwinfomallorg School of Informatics and Computing. All rights reserved Architectures of Test Automation Copyright August 2000 Cem Kaner kanerkanercom Acknowledgement Many of the ideas in this presentation were jointly developed with Doug Hoffman in a course that we taught together on test automatio Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. Software Architecture. Describe how the various software components are to be organized and how they should interact.. It describe the organization and interaction of software components.. System Architecture. Parallel . Architectures. . & Performance Analysis. Parallel computer: multiple-processor system supporting parallel programming.. Three principle types of architecture. Vector computers, in particular processor arrays. S Jha. 1. , J Qiu. 2. , A Luckow. 1. , P Mantha. 1. , Geoffrey Fox. 2. 1 . Rutgers http://radical.rutgers.edu. 2 . Indiana . . http. ://. www.infomall.org. http://. arxiv.org. /abs/1403.1528. Bin . Ren. Advisor: Dr. . Gagan. . Agrawal. 4/6/2014. 1. Streaming SIMD Extension. Motivation. 4/6/2014. 2. Various emerging parallel architectures. Intel . . SSE. 1999. Intel . . SSE3. 2004. 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. Dr Robert Woodcock – WGISS 43. CSIRO. Overview. Why FDA?. Brief Review of 2016 - Why . FDA. ?. Interim Report from 2016. What FDA? - So far in 2017. The pillars of CEOS FDA. How FDA? - What's next for WGISS and FDA. Definition. What is a plug-in?. “a small piece of software that supplements a larger program”. Merriam-Webster’s Online Dictionary. “An accessory software or hardware package that is used in conjunction with an existing application or device to extend its capabilities or provide additional functions”. 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. – Discussion. Dr Robert Woodcock – WGISS 43. CSIRO. What do WE need to know?. Examples of topics from OGC ORM:. Enterprise view. Why and the value proposition. Geospatial Information. Information specifications. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Session at . Silicon India. Rajgopal Kishore. Vice President and Global Head of BI & Analytics, . HCL Technologies. rkishore@hcl.in. rkishore9@gmail.com. . State of data. Challenges. Need of the day.

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