PPT-Heterogeneous and Reconfigurable Computing Group

Objective develop technologies to improve computer performance 1 Processor Generation Max Clock Speed GHz Max Numberof Cores Max RAM Bandwidth GBs Max Peak Floating Point Gflops. 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 YODA Project &. Discussion of . FPGAs. Lecturer:. Simon Winberg. Digital Systems. EEE4084F. Lecture Overview. YODA Project. FPGA Families. Reconfigurable Computing. EEE4084F. A Scenario…. In the not too distant future, . Scott Wen-tau Yih . (Microsoft Research). Joint work with. . Vahed Qazvinian . (University of . Michigan). Measuring Semantic Word Relatedness. How related are words “movie” and “popcorn”?. Zack Smaridge . Everett . Salley. 1/54. Application-Specific Customization and Scalability of Soft Multiprocessors. D. Unnikrishnan, J. Zhao, R. Tessier. University of Massachusetts. Field-Programmable Custom Computing Machines. Reconfigurable Computing. http://www.ece.arizona.edu/~ece506. Lecture 1. Course Introduction. Ali Akoglu. Background needed for this course. You should be familiar with:. Digital design. Architecture. Jonathan Kuck. 1. , . Honglei. Zhuang. 1. , . Xifeng. Yan. 2. , Hasan Cam. 3. , . Jiawei. Han. 1. 1. University of Illinois at Urbana-Champaign. 2. University of California at Santa Barbara. 3. US Army Research Lab. Presented by : Shreya . sriperumbuduri. . Siddharth. . ambadasu. . Jayalakshmi. . muthiah. 1/57. Citation. El-. Araby. , E.; Gonzalez, I.; El-. Ghazawi. , T., "Virtualizing and sharing reconfigurable resources in High-Performance Reconfigurable Computing systems," High-Performance Reconfigurable Computing Technology and Applications, 2008. HPRCTA 2008. Second International Workshop on , vol., no., pp.1,8, 16-16 Nov. 2008. Rathijit. Sen. Computer Sciences. May 13, 2016. 5/13/2016. UNIVERSITY OF WISCONSIN-MADISON. 1. Conventional Wisdom. “. We see that peak energy efficiency occurs at peak utilization and drops quickly as utilization decreases.. Chris Morales. Kaz . Onishi. 1. Wireless Sensor Networks. Expected to be :. Autonomous. Low Power. Context aware. Flexible. Can have thousands of nodes spread out. Makes development and support complicated. for Adaptive Fault Tolerance. Shaon. . Yousuf. Adam Jacobs. Ph.D. . . Students. NSF CHREC Center, University of Florida. Dr. Ann Gordon-Ross. Assistant Professor of ECE. NSF CHREC Center, University of Florida. Discussion of Digital Accelerators. Lecturer:. Simon Winberg. Digital Systems. EEE4084F. Lecture Overview. YODA . Project. Digital accelerators. Project Milestones. YODA ‘Conference’. Reconfigurable Computing. Working Group Break-Out Session Discussion. IMAG MSM Meeting 2017. Compiled by Portonovo S. Ayyaswamy and Ravi Radhakrishnan, University of Pennsylvania. High-Performance Computing (HPC) WG Goals. Initiate discussion, foster collaboration, share know-how on (but not limited) to:. 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. 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..