PPT-Heterogeneous Computing using

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openCL lecture 4 F21DP Distributed and Parallel Technology SvenBodo Scholz The Big Picture Introduction to Heterogeneous Systems OpenCL Basics Memory Issues Scheduling

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openCL lecture 4 F21DP Distributed and Parallel Technology SvenBodo Scholz The Big Picture Introduction to Heterogeneous Systems OpenCL Basics Memory Issues Scheduling 1 Memory Banks Memory is made up of . Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc using . openCL. lecture 4. F21DP Distributed and Parallel Technology. Sven-Bodo Scholz. The Big Picture. Introduction to Heterogeneous Systems. OpenCL. Basics. Memory Issues. Scheduling. 1. Memory Banks. using . openMP. lecture 2. F21DP Distributed and Parallel Technology. Sven-Bodo Scholz. Adding Insult to Injury. 1. int. main(). {. . . int. . i. ; double x, pi, sum . [10] . =0.0; . int. . num_t. Separation of Matter Notes. Matter Flowchart. A. Separating Heterogeneous Mixtures. . Based on differences in the size or density of the pure substances making up the . mixture. Decanting. Filtering. Li-Wen Chang. (a). , . Juan Gómez-Luna. (b). ,. . Izzat. El Hajj. (. a. ). , . Sitao. Huang. (. a. ). , Deming Chen. (a). , and Wen-Mei W. . Hwu. (a). (a). University of Illinois at Urbana-Champaign. High-Level . Hardware-Software Co-design of . Flexible Modern . Wireless . Transceivers. Benjamin Drozdenko. Graduate Research Assistant & Ph.D. . Candidate. Advisors: Prof. Leeser (RCL) & Prof. Chowdhury (GENESYS). Objective: develop technologies to improve computer performance. . . 1. Processor. Generation. Max. Clock. Speed (GHz). Max. Numberof Cores. Max. RAM. Bandwidth (GB/s). Max. Peak Floating Point (Gflop/s). C. omputing Lab. . . 1. Lab Director: Jason D. Bakos. . Heterogeneous and Reconfigurable Computing Group. Objective: develop technologies to improve computer performance. . . 2. Processor. Mike . Pangburn. Relevance to companies?. Cloud . Computing will be of particular relevance to the following types of firms:. Cash-lean firms. Firms not already heavily invested in previously installed systems/software. Li-Wen Chang. (a). , . Juan Gómez-Luna. (b). ,. . Izzat. El Hajj. (. a. ). , . Sitao. Huang. (. a. ). , Deming Chen. (a). , and Wen-Mei W. . Hwu. (a). (a). University of Illinois at Urbana-Champaign. Dept. of Computer Science and Engineering. University of South Carolina. Dr. Jason D. . Bakos. Assistant Professor. Heterogeneous and Reconfigurable Computing Lab (HeRC). This material is based upon work supported by the National Science Foundation under Grant Nos. CCF-0844951 and CCF-0915608.. Which of the following is a physical change that requires energy?. H. 2. O (l) .  H. 2. (g) + O. 2. (g). H. 2. O (l) .  H. 2. O (s). H. 2. O (s) .  H. 2. O. . (l). H. 2. (g) + O. 2. (g). . BON SECOURS COLLEGE FOR WOMEN. Definition. :. A catalyst is define as a substance which alters the rate of a chemical reaction, itself remaining chemically unchanged at the end of the reaction. This phenomenon is called catalysis.. Harry . Bhadeshia. . Haixue. Yan. photograph courtesy of Sunita Hansraj from her Antarctica expedition. Nucleation of .  . from . . Driving force . G < 0. At . T. = . T. e. , . Homogeneous nucleation.

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