'Processing elements' presentation slideshows

SIMD and Associative Computing

SIMD and Associative Computing. Computational Models and Algorithms. Associative Computing Topics. Introduction References SIMD computing & Architecture Motivation for the MASC model The MASC and ASC Models A Language Designed for the ASC Model

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The CMU Reconfigurable Computing Project

The CMU Reconfigurable Computing Project. April 9, 1999 Mihai Budiu mihaib@cs.cmu.edu. Current Project Members. ECE Department Herman Schmit Srihari Cadambi Matt Moe Robert Taylor Ronald Laufer. CS Department Seth Copen Goldstein Mihai Budiu. Why Study Reconfigurable Hardware?.

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CS61V

CS61V. Parallel Architectures. Architecture Classification . The Flynn taxonomy (proposed in 1966!) Functional taxonomy based on the notion of streams of information: data and instructions

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COMP 308 Parallel Efficient Algorithms

Introduction to Parallel Computation. COMP 308 Parallel Efficient Algorithms. Lecturer: Dr. Igor Potapov Ashton Building, room 3.15 E-mail: igor@csc.liv.ac.uk COMP 308 web-page: http://www.csc.liv.ac.uk/~igor/COMP308. Course Description and Objectives:. The aim of the module is

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ARTIFICIAL NEURAL NETWORK

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Course Description and Objectives:

Course Description and Objectives:. The aim of the module is to introduce techniques for the design of efficient parallel algorithms and their implementation. Learning Outcomes:. At the end of the course you will be:

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INTERCONNECTION NETWORKS

INTERCONNECTION NETWORKS. Dynamic Interconnection Networks - Gomathy. Work done as part of Parallel Architecture Under the guidance of Dr. Edwin Sha By Gomathy Gowri Narayanan Karthik Alagu. Interconnection Networks -Karthik.

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Using Industry Standards to Exploit the Advantages and Resolve the Challenges of Multicore Technology

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Paper Review I Coarse Grained Reconfigurable Arrays

Paper Review I Coarse Grained Reconfigurable Arrays. Presented By: Matthew Mayhew I.D.# 0234815 ENG*6530 Tues, June, 10, 2008. References. Link 2: Chapter 2: Coarse-Grained Reconfigurable Architectures

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Fault-Tolerant Design for Long-Life Deep Space Missions

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Introduction to Reconfigurable Computing

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PipeRench: A Coprocessor for Streaming Multimedia Acceleration

PipeRench: A Coprocessor for Streaming Multimedia Acceleration. Seth Goldstein, Herman Schmit et al. Carnegie Mellon University. Introduction. Multimedia workloads increasingly emphasize relatively simple calculations on massive quantities of mixed-width data

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Advanced Embedded Systems Design

Advanced Embedded Systems Design. BAE 5030 - 003 Fall 2004 Instructor: Marvin Stone Biosystems and Agricultural Engineering Oklahoma State University. Overview Of Embedded Systems Design. Embedded systems

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Program Development.

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Stream Processing of X-ray Microdiffraction Data on Multicores

Stream Processing of X-ray Microdiffraction Data on Multicores. Yuzhen Xie, University of Western Ontario (UWO) joint work with Alain Biem, IBM Research Michael A. Bauer, UWO Stewart McIntyre, UWO Nobumichi Tamura, Lawrence Berkeley National Lab AMMCS, July 2011. Motivation.

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CMSC 611: Advanced Computer Architecture

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Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information

Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information Processing in the Visual Cortex. Presenter : YAN-SHOU SIE Authors: Ramin Pashaie , Student Member, IEEE, and Nabil H. Farhat , Life Fellow, IEEE 2009. TNN. Outlines. Motivation Objectives

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Effect of emulsification conditions on mean drop size

Effect of emulsification conditions on mean drop size. Ivan. B. Ivanov, Nina Vankova, Slavka Tcholakova, Vasko Vulchev, and Nikolai D. Denkov Faculty of Chemistry, Sofia University,Sofia, Bulgaria. Aim. To determine the effects of different factors on the mean drop size:

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Stack Protection Unit as a step towards securing MPSoCs

Reconfigurable Architectures Workshop - RAW 2010.

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