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    64-bit architechtures and compute clusters for high performance simulations 

    Hawick, K.A.; James, H.A.; Scogings, C.J. (Massey University, 2006)
    Simulation of large complex systems remains one of the most demanding of high performance computer systems both in terms of raw compute performance and efficient memory management. Recent availability of 64-bit architectures ...
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    A framework and simulation engine for studying artificial life 

    James, H.A.; Scogings, C.; Hawick, K.A. (Massey University, 2004)
    The area of computer-generated artificial life-forms is a relatively recent field of inter-disciplinary study that involves mathematical modelling, physical intuition and ideas from chemistry and biology and computational ...
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    Node importance ranking and scaling properties of some complex road networks 

    Hawick, K.A.; James, H.A. (Massey University, 2007)
    The scaling and other quantifiable properties of a network have recently been proven valuable in understanding the robustness and vulnerability properties of various societal and infrastructural networks. In this paper ...
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    A review of traffic simulation software 

    Kotusevski, G.; Hawick, K.A. (Massey University, 2009)
    Computer simulation of tra c is a widely used method in research of tra c modelling, planning and development of tra c networks and systems. Vehicular tra c systems are of growing concern and interest globally and modelling ...
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    Accelerated face detector training using the PSL framework 

    Susnjak, T.; Barczak, A.L.C.; Hawick, K.A. (Massey University, 2009)
    We train a face detection system using the PSL framework [1] which combines the AdaBoost learning algorithm and Haar-like features. We demonstrate the ability of this framework to overcome some of the challenges inherent ...
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    Simulating large random Boolean networks 

    Hawick, K.A.; James, H.A.; Scogings, C.J. (Massey University, 2007)
    The Kauffman N-K, or random boolean network, model is an important tool for exploring the properties of large scale complex systems. There are computational challenges in simulating large networks with high connectivities. ...
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    Simulation modelling and visualisation: toolkits for building artificial worlds 

    Playne, D.P.; Gerdelan, A.P.; Leist, A.; Scogings, C.J.; Hawick, K.A. (Massey University, 2008)
    Simulations users at all levels make heavy use of compute resources to drive computational simulations for greatly varying applications areas of research using different simulation paradigms. Simulations are implemented ...
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    Small-world networks, distributed hash tables and the e-resource discovery problem 

    Leist, A.; Hawick, K.A. (Massey University, 2010)
    Resource discovery is one of the most important underpinning problems behind producing a scalable, robust and efficient global infrastructure for e-Science. A number of approaches to the resource discovery and management ...
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    Mixing multi-core CPUs and GPUs for scientific simulation software 

    Hawick, K.A.; Leist, A.; Playne, D.P. (Massey University, 2010)
    Recent technological and economic developments have led to widespread availability of multi-core CPUs and specialist accelerator processors such as graphical processing units (GPUs). The accelerated computational performance ...
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    A novel bootstrapping method for positive datasets in cascades of boosted ensembles 

    Susnjak, T.; Barczak, A.L.C.; Hawick, K.A. (Massey University, 2010)
    We present a novel method for efficiently training a face detector using large positive datasets in a cascade of boosted ensembles. We extend the successful Viola-Jones [1] framework which achieved low false acceptance ...
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    Author
    Hawick, K.A. (13)
    James, H.A. (6)Leist, A. (3)... View MoreSubjectAdaBoost (2)Cascades of boosted ensembles (CoBE) (2)Classifiers (2)... View MoreDate Issued2010 (3)2009 (2)2008 (1)2007 (2)2006 (1)2005 (2)2004 (2)Content TypeArticle (13)

    Copyright © Massey University
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