PPT-Towards a Self-Reconfigurable Embedded Processor Architectu

Wenqian Wu EEL 6935 Shady O Agwa Hany H Ahmad Awad I Saleh Contents Background Introduction 1 Selfreconfigurable Architecture 2 Xtensa Acceleration Technique 3 Runtime Profiling. JIM TURNERLOOK AT ME NOW...WRITTEN BY: CHAS SMITHEXCEPTIONS TO...PHOTOGRAPHED BY: JOHN CAREYWRITTEN BY: JOANNA PRISCOA WOMAN AS...WRITTEN BY: ALICE PFEIFFER 1 1 .functionPoint(x,y){varself={};self.x=x;self.y=y;self.setX=function(d:number){self.x=d;};returnsetTag(point)(self);}ThefunctionPointcreatesanewpoint.Itallocatesanewemptyrecordandstoresitinthelocal Computing. Processors. CSE 237D: Spring 2009. Topic #3. Ryan . Kastner. What kind of. embedded processor?. What are our options for processors in embedded systems?. What performance metrics are we worried about?. 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. 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. High Performance Embedded Systems:. The SAFES Perspective. Guy . Gogniat. , . Jean Philippe . Diguet. . ,. Romain. . Vaslin. ,. Tilman. Wolf, Wayne Burleson, . Lilian. Bossuet. . University of South . 1 Programming Architectures For RunTime Reconfigurable Systems Katherine Compton Department of ECE Northwestern University Evanston, IL USA kati@ece.nwu.edu Abstract Due to its potential to greatly 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. Week 1- Fall 2009. Dr. Kimberly E. Newman. University of Colorado. General Introduction. The scope of embedded system design platform has expanded from the traditional system of a programmed microprocessor or microcontroller to the use of “embedded cores and processors”, and reconfigurable devices as components of a digital system.  This growth in technology provides greater design flexibility, in that the system architect/designer can choose the mix of hardware and software components of a system, and have more control over the computing architecture and organization of the system. Xilinx Training. Welcome. If you are new to Embedded design with Xilinx FPGA’s, this module will explain . why you may want to use the MicroBlaze soft processor core in any of our FPGA families. Understanding . 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. Ninth Edition. By William Stallings. Operating Systems:. Internals and Design Principles. © 2017 Pearson Education, Inc., Hoboken, NJ. All rights reserved.. Embedded System. The term . embedded system . 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). Discussion of . FPGAs. Lecturer:. Simon Winberg. Digital Systems. EEE4084F. Lecture Overview. YODA Project. FPGA Families. Early Notice:. Quiz next. Thursday!. Quiz . 3 . next. Thursday . (. 11 . Apr).