PPT-Routing Algorithms for FPGAs with Sparse Intra-cluster Rout

Author : jane-oiler | Published Date : 2016-03-12

Yehdhih Ould Mohammed Moctar 1 Guy GF Lemieux 2 Philip Brisk 1 1 University of California Riverside 2 University of British Columbia 22 nd International Conference

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Routing Algorithms for FPGAs with Sparse Intra-cluster Rout: Transcript


Yehdhih Ould Mohammed Moctar 1 Guy GF Lemieux 2 Philip Brisk 1 1 University of California Riverside 2 University of British Columbia 22 nd International Conference on Field Programmable Logic and Applications. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. . http://lions.epfl.ch. Linear Dimensionality Reduction. Compressive sensing. non-adaptive measurements. to Multiple Correspondence . Analysis. G. Saporta. 1. , . A. . . Bernard. 1,2. , . C. . . Guinot. 2,3. 1 . CNAM, Paris, France. 2 . CE.R.I.E.S., Neuilly sur Seine, France. 3 . Université. . François Rabelais. Point Mantissa Alignment and . Normalization in FPGAs. Yehdhih. . Ould. Mohammed Moctar. 1. . Nithin. George. 2. . Hadi. Parandeh-Afshar. 2. . Paolo Ienne. 2. . Guy G.F. Lemieux. 3. . Philip Brisk. Full storage:. . 2-dimensional array.. (nrows*ncols) memory.. 31. 0. 53. 0. 59. 0. 41. 26. 0. 31. 41. 59. 26. 53. 1. 3. 2. 3. 1. Sparse storage:. . Compressed storage by columns . (CSC).. Three 1-dimensional arrays.. Recovery. . (. Using . Sparse. . Matrices). Piotr. . Indyk. MIT. Heavy Hitters. Also called frequent elements and elephants. Define. HH. p. φ. . (. x. ) = { . i. : |x. i. | ≥ . φ. ||. x||. p. Seyi. Ayorinde. University of Virginia. February 12. th. , 2015. Context. BIST for FPGAs is now a mature study. Many examples of different BIST methodologies and implementations. BIST for FPGAs has been realized on commercial FPGAs primarily. Network Layer. 4-. 1. 4-. 2. Hierarchical Routing. scale:. . with > . 200 million destinations:. can’t store all . dest’s. in routing tables!. routing table exchange would swamp links!. . administrative autonomy. Author: . Vikas. . Sindhwani. and . Amol. . Ghoting. Presenter: . Jinze. Li. Problem Introduction. we are given a collection of N data points or signals in a high-dimensional space R. D. : xi ∈ . -Poulin - 4073219. CEG 4136 – Computer Architecture III. November 16. th. , 2010. Questions/Topics. Describe several algorithms used for adaptive . routing.. Describe . problems and advantages of these routing . . Outline. Background. Classification of Routing Protocols. Data Centric Protocols. Flooding and Gossiping. SPIN. Directed Diffusion. Rumor Routing. Background. Sensor . nodes. Small. , wireless, battery . Applications. Lecture 5. : Sparse optimization. Zhu Han. University of Houston. Thanks Dr. . Shaohua. Qin’s efforts on slides. 1. Outline (chapter 4). Sparse optimization models. Classic solvers and omitted solvers (BSUM and ADMM). Bill Jason P. Tomas. Dept. of Electrical and Computer Engineering. University of Nevada Las Vegas. Field Programmable Arrays. Dominant digital design implementation . Ability to re-configure FPGA to implement any digital logic function. F. an Li, Yu Wang. IEEE Vehicular Technology Magazine, June 2007. Speaker: . Le . Wang. . Outline. 1. Motivation and overview . 2. . Routing Protocols. Ad Hoc Routing. Position-Based Routing. Cluster-Based Routing. Jim . Demmel. EECS & Math Departments. UC Berkeley. Why avoid communication? . Communication = moving data. Between level of memory hierarchy. Between processors over a network. Running time of an algorithm is sum of 3 terms:.

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