PPT-A Survey on Reconfigurable Accelerators for Cloud

Computing FPL 2016 1 September 2016 Dr Christoforos Kachris Prof Dimitrios Soudris ICCSNTUA Greece Accelerators in data centers FPL 2016 Christoforos Kachris ICCSNTUA September 2016. 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. by . Ahmed . Alawneh. , Mohammed Mansour and . Alaa. . Rawajbeh. . The supervisor: Dr. . Allam. . Mousa.  . . 2014. An-. Najah. National University . Fuculty. of Engineering . Telecommunication Engineering Department . 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. 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. 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. 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. ITS Research Computing. Mark Reed . Objectives. Learn why computing with accelerators is important. Understand accelerator hardware. Learn what types of problems are suitable for accelerators. Survey the programming models available. Presented by Jinpeng Zhou. CS 2310 Seminar, 12/05/2017. Background. SOA. Service Oriented Architecture. A high-level architecture for distributed systems. Service means programs, databases, processes. Twiss. Parameterization (left out yesterday). The transfer matrix over any period (. s. . s+C. ). must be stable over infinite passes. Must have purely imaginary eigenvalues. Any such matrix can be represented as. IFIC, Valencia Oct. 2010. . I. Vila IFCA (CSIC-UC) . Advanced European Infrastructures for Detectors at Accelerators. _Outline. News and current status. AIDA basics. Work Packages. Organization. (G. . Devanz. , R. . Laxdal. , P. . Michelato. ). Mandate. Major initiatives are well underway for ion accelerators for nuclear astrophysics, such as FRIB, RAON and others.  With the success of SNS, high intensity proton accelerator projects are progressing, such as ESS, PIP-II, Indian SNS, along with ADS ambitions, such as CADS and IADS.  The aim of WG2 is to address the major on-going issues for each type of accelerator, how these issues are being addressed, as well as the needed developments. Demonstrated and needed advances in couplers and tuners for both accelerator classes should be included.  Please avoid presentations that give project status summaries - more suited to other conferences. . CERN Exhibition. Microcosmos. Mini-Expo (Greece). NanoCosmos. 3. Accelerators and concepts in that context. (Virtual) Workshop for teachers in PP (CERN). Lessons series for students in concept of mass (see . Report from Discussion Session. Jose Alonso. 1. Charge (Per Janet). Credible case needs to be made to DUSEL in very near future. Address relevant technical (not cost, now) issues. What questions need to be answered related to feasibility of accelerator concept?.