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    SAC
    2008
    ACM
    128views Applied Computing» more  SAC 2008»
    Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems
    14 years 11 months ago
    Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems
    Download  www.stat.tamu.edu
    Yuan Ren, Yu Ding, Faming Liang
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    ISPD
    1997
    ACM
    74views Hardware» more  ISPD 1997»
    A matrix synthesis approach to thermal placement
    15 years 3 months ago
    A matrix synthesis approach to thermal placement
    Download  hydrogen.ws.binghamton.edu
    — In this paper, we consider the thermal placement problem for gate arrays. We introduce a new combinatorial optimization problem, matrix synthesis problem (MSP), to model the th...
    Chris C. N. Chu, D. F. Wong
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    ASPDAC
    2005
    ACM
    92views Hardware» more  ASPDAC 2005»
    An LP-based methodology for improved timing-driven placement
    15 years 1 months ago
    An LP-based methodology for improved timing-driven placement
    Download  www.cs.uic.edu
    — A method for timing driven placement is presented. The core of the approach is optimal timing-driven relaxed placement based on a linear programming (LP) formulation. The formu...
    Qingzhou (Ben) Wang, John Lillis, Shubhankar Sanya...
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    INTEGRATION
    2006
    82views more  INTEGRATION 2006»
    On whitespace and stability in physical synthesis
    14 years 11 months ago
    On whitespace and stability in physical synthesis
    Download  www.eecs.umich.edu
    In the context of physical synthesis, large-scale standard-cell placement algorithms must facilitate incremental changes to layout, both local and global. In particular, flexible ...
    Saurabh N. Adya, Igor L. Markov, Paul G. Villarrub...
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    SIGMETRICS
    2002
    ACM
    128views Hardware» more  SIGMETRICS 2002»
    High-density model for server allocation and placement
    14 years 11 months ago
    High-density model for server allocation and placement
    Download  netlab.caltech.edu
    It is well known that optimal server placement is NP-hard. We present an approximate model for the case when both clients and servers are dense, and propose a simple server alloca...
    Craig W. Cameron, Steven H. Low, David X. Wei
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