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Titlebook: Reconfigurable Computing; Accelerating Computa Maya Gokhale,Paul S. Graham Book 2005 Springer-Verlag US 2005 Algorithms.Automat.Debugging.F

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书目名称Reconfigurable Computing
副标题Accelerating Computa
编辑Maya Gokhale,Paul S. Graham
视频video
概述A one-of-a-kind survey of the field of Reconfigurable Computing.Gives a comprehensive introduction to a discipline that offers a 10X-100X acceleration of algorithms over microprocessors.Discusses the
图书封面Titlebook: Reconfigurable Computing; Accelerating Computa Maya Gokhale,Paul S. Graham Book 2005 Springer-Verlag US 2005 Algorithms.Automat.Debugging.F
出版日期Book 2005
关键词Algorithms; Automat; Debugging; FPGA; IC; Programmable Logic; Signal; architecture; bioinformatics; image pro
版次1
doihttps://doi.org/10.1007/b136834
isbn_softcover978-1-4419-3865-7
isbn_ebook978-0-387-26106-5
copyrightSpringer-Verlag US 2005
The information of publication is updating

书目名称Reconfigurable Computing影响因子(影响力)




书目名称Reconfigurable Computing影响因子(影响力)学科排名




书目名称Reconfigurable Computing网络公开度




书目名称Reconfigurable Computing网络公开度学科排名




书目名称Reconfigurable Computing被引频次




书目名称Reconfigurable Computing被引频次学科排名




书目名称Reconfigurable Computing年度引用




书目名称Reconfigurable Computing年度引用学科排名




书目名称Reconfigurable Computing读者反馈




书目名称Reconfigurable Computing读者反馈学科排名




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l, but unspecified, threshold level of complex computation among neurons. The brain-as-computer model, however, fails to account for phenomenal experience and portrays consciousness as an impotent, after-the-fact epiphenomenon lacking causal power. And the brain-as-computer concept precludes even th
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l, but unspecified, threshold level of complex computation among neurons. The brain-as-computer model, however, fails to account for phenomenal experience and portrays consciousness as an impotent, after-the-fact epiphenomenon lacking causal power. And the brain-as-computer concept precludes even th
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Reid B. Porterl, but unspecified, threshold level of complex computation among neurons. The brain-as-computer model, however, fails to account for phenomenal experience and portrays consciousness as an impotent, after-the-fact epiphenomenon lacking causal power. And the brain-as-computer concept precludes even th
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Dominique Lavenier,Mathieu Giraudl, but unspecified, threshold level of complex computation among neurons. The brain-as-computer model, however, fails to account for phenomenal experience and portrays consciousness as an impotent, after-the-fact epiphenomenon lacking causal power. And the brain-as-computer concept precludes even th
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fic and philosophical perspectives.Provides a unique window .The conscious mind defines human existence. Many consider the brain as a computer, and they attempt to explain consciousness as emerging at a critical, but unspecified, threshold level of complex computation among neurons. The brain-as-com
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