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Computing in Science & Engineering

Issue 2 • Date March-April 2011

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Displaying Results 1 - 19 of 19
  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Front cover]

    Publication Year: 2011, Page(s): c2
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  • Contents

    Publication Year: 2011, Page(s): 1
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  • [Masthead]

    Publication Year: 2011, Page(s): 2
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  • Watchful Waiting

    Publication Year: 2011, Page(s):3 - 4
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  • Books [reviews of "A First Course in Computational Physics, 2nd ed. (DeVries, P. and Hasbun, J.; 2010) and "Numerical Relativity (Baumgarte, T.W. and Shapiro, S.L.; 2010)]

    Publication Year: 2011, Page(s):5 - 8
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  • Python for Scientists and Engineers

    Publication Year: 2011, Page(s):9 - 12
    Cited by:  Papers (3)
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  • Python: An Ecosystem for Scientific Computing

    Publication Year: 2011, Page(s):13 - 21
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (793 KB) | HTML iconHTML

    As the relationship between research and computing evolves, new tools are required to not only treat numerical problems, but also to solve various problems that involve large datasets in different formats, new algorithms, and computational systems such as databases and Internet servers. Python can help develop these computational research tools by providing a balance of clarity and flexibility wit... View full abstract»

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  • The NumPy Array: A Structure for Efficient Numerical Computation

    Publication Year: 2011, Page(s):22 - 30
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1047 KB) | HTML iconHTML

    In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts. View full abstract»

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  • Cython: The Best of Both Worlds

    Publication Year: 2011, Page(s):31 - 39
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (709 KB) | HTML iconHTML

    Cython is a Python language extension that allows explicit type declarations and is compiled directly to C. As such, it addresses Python's large overhead for numerical loops and the difficulty of efficiently using existing C and Fortran code, which Cython can interact with natively. View full abstract»

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  • Mayavi: 3D Visualization of Scientific Data

    Publication Year: 2011, Page(s):40 - 51
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2208 KB) | HTML iconHTML

    Mayavi is a general purpose, open source 3D scientific visualization package that is tightly integrated with the rich ecosystem of Python scientific packages. Mayavi provides a continuum of tools for developing scientific applications, ranging from interactive and script-based data visualization in Python to full-blown custom end-user applications. View full abstract»

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  • A High-End Reconfigurable Computation Platform for Nuclear and Particle Physics Experiments

    Publication Year: 2011, Page(s):52 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3858 KB) | HTML iconHTML

    A high-performance computation platform based on field-programmable gate arrays targets nuclear and particle physics experiment applications. The system can be constructed or scaled into a supercomputer-equivalent size for detector data processing by inserting compute nodes into advanced telecommunications computing architecture (ATCA) crates. Among the case study results are that one ATCA crate c... View full abstract»

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  • web2py for Scientific Applications

    Publication Year: 2011, Page(s):64 - 69
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1241 KB) | HTML iconHTML

    The needs of scientists to communicate effectively, collaborate over the Internet, and organize and present data in a structured and accessible manner have become critically important. The web2py framework offers rapid development and prototyping of secure database-driven Web applications and was created specifically with the scientific and academic communities in mind. View full abstract»

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  • A Report From VisWeek 2010

    Publication Year: 2011, Page(s):70 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1392 KB) | HTML iconHTML

    VisWeek 2010 covered the latest visualization and data analysis research and offered an excellent forum for discussing new trends in these fields. View full abstract»

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  • From Equations to Code: Automated Scientific Computing

    Publication Year: 2011, Page(s):78 - 82
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (736 KB) | HTML iconHTML

    Using domain-specific languages, scientific codes can let users work directly with equations and benefit from optimizations not available with general compilers. View full abstract»

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  • EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

    Publication Year: 2011, Page(s):83 - 87
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1641 KB) | HTML iconHTML

    Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient. View full abstract»

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  • Buying a House, Then and Now

    Publication Year: 2011, Page(s): 88
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    The Internet has certainly changed the house-buying experience over the past decade, but real-world financial paperwork is still going strong. View full abstract»

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  • [Advertisement - Back cover]

    Publication Year: 2011, Page(s): c3
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  • [Advertisement - Back cover]

    Publication Year: 2011, Page(s): c4
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Aims & Scope

CS&E magazine emphasizes articles that help define the field as the interface among the applications (in science and engineering), algorithms (numerical and symbolic), system software, and computer architecture.

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Meet Our Editors

Editor-in-Chief
George K. Thiruvathukal
Loyola University