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    DAC
    2010
    ACM
    140views Computer Architecture» more  DAC 2010»
    Recovery-driven design: a power minimization methodology for error-tolerant processor modules
    15 years 10 months ago
    Recovery-driven design: a power minimization methodology for error-tolerant processor modules
    Download  vlsicad.ucsd.edu
    Andrew B. Kahng, Seokhyeong Kang, Rakesh Kumar, Jo...
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    DAC
    2010
    ACM
    216views Computer Architecture» more  DAC 2010»
    Thermal monitoring of real processors: techniques for sensor allocation and full characterization
    15 years 10 months ago
    Thermal monitoring of real processors: techniques for sensor allocation and full characterization
    Download  ic.engin.brown.edu
    Abdullah Nazma Nowroz, Ryan Cochran, Sherief Reda
    posted by sreda
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    CAMP
    2005
    IEEE
    119views Computer Architecture» more  CAMP 2005»
    Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh
    15 years 8 months ago
    Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh
    Download  www.ief.u-psud.fr
    Julien Denoulet, Ghilès Mostafaoui, Lionel ...
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    ISCAS
    2011
    IEEE
    261views Hardware» more  ISCAS 2011»
    Hardware synchronization for embedded multi-core processors
    14 years 10 months ago
    Hardware synchronization for embedded multi-core processors
    Download  www.jopdesign.com
    Abstract— Multi-core processors are about to conquer embedded systems — it is not the question of whether they are coming but how the architectures of the microcontrollers shou...
    Christian Stoif, Martin Schoeberl, Benito Liccardi...
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    GPEM
    2002
    163views more  GPEM 2002»
    Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
    15 years 6 months ago
    Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
    Download  lips.informatik.uni-leipzig.de
    Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
    Daniel Merkle, Martin Middendorf
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