PPT-DT-CGRA: Dual-Track Coarse-Grained Reconfigurable Architecture for Stream Applications

Author : luanne-stotts | Published Date : 2018-03-08

Xitian Fan Huimin Li Wei Cao Lingli Wang Fudan University 1 Outline The dualtrack programming model The dualtrack CGRA architecture Computing pattern examples

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DT-CGRA: Dual-Track Coarse-Grained Reconfigurable Architecture for Stream Applications: Transcript


Xitian Fan Huimin Li Wei Cao Lingli Wang Fudan University 1 Outline The dualtrack programming model The dualtrack CGRA architecture Computing pattern examples Experiments Summary. Design Gap. Problems with Fine Grained Approach FPGAs. Area in-efficient. Percentage of chip area for wiring far too high. Too slow. Unavoidable critical paths too long. Routing and Placement is very complex. . to . Learn. the Durations of Events. Andrey. . Gusev. joint work with. Nate Chambers. , . Pranav. . Khaitan. , . Divye. . Khilnani. , . Steven . Bethard. , Dan . Jurafsky. . Examples of Event Durations. 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 . : Using . Epimorphism. . to Map Applications on CGRAs. Mahdi . Hamzeh. , . Aviral. . Shrivastava. , and . Sarma. . Vrudhula. School of Computing, Informatics, and Decision Systems Engineering. Arizona State University. 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 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. Mouna Hammoudi. 1. , Gregg Rothermel. 1. , . Andrea Stocco. 2. . This work has been partially supported by the National Science Foundation through award IIS-1314365.. 1. University of Nebraska-Lincoln, USA. 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. Recognition(. 细粒度分类. ) . 沈志强. Datasets. . -- Caltech-UCSD Bird-200-2011. Number of categories: 200. Number of images: 11,788. Annotations per image: 15 Part Locations, 1 Bounding Box. 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. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Faria. . Kalim. (lead TA). CS425 Fall 2019. UIUC. Why Spark?. Another system for big data analytics. Isn’t . MapReduce. good enough?. Simplifies batch processing on large commodity clusters. Expensive save . Heng. . Ji (UIUC. ). 1. What are “entities”?. [Main meaning]. - unique world bodies with (non-unique) names, such as. people, organizations, locations. e.g. . Washington County. [Extended meaning – information extraction].

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