PPT-Partial Reconfiguration

Not just a half baked job of reconfiguring Rohit Kumar Joseph Antoon Research Students University of Florida Dr Herman Lam Assistant Professor of ECE University of Florida Partial Reconfiguration is All Around Us. . ARCHITECTURE. 1. Agenda. Introduction. Partial Reconfiguration Basics. Design Considerations. Advantages of Partial Reconfiguration. Challenges of Partial Reconfiguration. Application Examples. Reducing . the size of the FPGA device required to implement a given function, . with consequent . reductions in cost and power consumption. Providing . flexibility in the choices of algorithms or protocols available to . Online Reconfigurations in . Ring. -Based . NoSQL. Systems. Yosub. Shin, . Mainak. . Ghosh. ,. Indranil Gupta. University of Illinois at Urbana-Champaign. 1. DPRG: http://. dprg.cs.uiuc.edu. Ring-Based Key-value Stores. Alex . Shraer. (. Technion. ). Joint work with: . J.P. Martin, D. Malkhi, M. K. Aguilera (MSR) . I. . Keidar. (. Technion. ). Preview. 2. The setting: . data-centric. replicated storage. Simple network-attached storage-nodes . Wensheng. Zhang and . Guohong. . Cao. Dynamic Convoy Tree-based Collaboration (DCTC). Constructing the Initial Convoy Tree. Apply existing root election algorithm. Other node connect to a neighbor closest to the root. Ethan Taylor. Dept. of Administration and Finance. Coordinator of Budgets and Grants. What is The difference in a “school” and a “program”?. When does the . sde. need to know about changes for the upcoming year?. Zhanpeng Jin Allen C. Cheng. zhj6@pitt.edu. . acc33@pitt.edu. . ASPLOS 2010, The Wild and Crazy Session VIII. Artificial Neural Network. (Source: ". Anatomy and Physiology. Rohit Kumar. Dr. Ann Gordon-Ross. {. kumar. , . ann. }@. chrec.org. Dept. of Electrical and Computer Engineering. University of Florida. Gainesville, FL 32608 USA. RAW’15. Hyderabad, India . May 25, 2015. Scheduling and . Placing in Reconfigurable Systems. Fabrizio. . Ferrandi. , . PierLuca. . Lanzi. , . Christian Pilato. , Donatella . Sciuto. Politecnico. di Milano – Dip. di . Elettronica. , . Informazione. 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. Alex . Shraer. (. Technion. ). Joint work with: . J.P. Martin, D. Malkhi, M. K. Aguilera (MSR) . I. . Keidar. (. Technion. ). Preview. 2. The setting: . data-centric. replicated storage. Simple network-attached storage-nodes . P. roximity . T. echnology with fl. U. x pinning & . R. econfiguration . E. xperiments. CAPTURE:. David Bayard, Laura Jones, and Swati Mohan. Jet Propulsion Laboratory. California Institute of Technology. 3.2 . Faddeev’s. algorithm mapped onto Systolic. array [8]. 2.4 Reconfigurable Architectures. During . run-time the system model or requirements may change due to . sensor/actuator failure. , environment changes, or at scheduled times. . A CASE STUDY WITH EKF AND DWT ALGORITHMS. Robert Barnes. Utah State University. Department of Electrical and Computer Engineering. Thesis Defense, November 13. th. 2008. Outline. Introduction & Background.