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Computing in Science & Engineering

Volume 14 Issue 1 • Jan.-Feb. 2012

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

    Publication Year: 2012, Page(s): c1
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  • [Front cover]

    Publication Year: 2012, Page(s): c2
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  • [Masthead]

    Publication Year: 2012, Page(s): 1
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  • Table of contents

    Publication Year: 2012, Page(s):2 - 3
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  • Of Art and CS Education

    Publication Year: 2012, Page(s): 4
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  • Books 
  • Book reviews (2 books reviewed)

    Publication Year: 2012, Page(s):5 - 8
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  • Crosstalk: Computation as a Language for Research Conversations among Scientists and Engineers

    Publication Year: 2012, Page(s):9 - 11
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  • Biomedical Visual Computing: Case Studies and Challenges

    Publication Year: 2012, Page(s):12 - 21
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5469 KB) | HTML iconHTML

    Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it's also fundamental to understanding models of complex phenomena. View full abstract»

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  • The ETSF: An e-Infrastructure That Bridges Simulations and Experiments

    Publication Year: 2012, Page(s):22 - 32
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6361 KB) | HTML iconHTML

    The European Theoretical Spectroscopy Facility (ETSF) is a distributed knowledge network that gives researchers access to state-of-the-art computer simulations for electronic excited states in matter. Focusing on the fundamental knowledge of matter at the quantum-mechanical level, ETSF seeks to transfer this understanding to the future design of technologies in multiple areas. View full abstract»

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  • Is Dislocation Flow Turbulent in Deformed Crystals?

    Publication Year: 2012, Page(s):33 - 39
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3270 KB) | HTML iconHTML

    Intriguing analogies were found between a model of plastic deformation in crystals and turbulence in fluids. A study of this model provides remarkable explanations of known experiments and predicts fractal dislocation pattern formation. Further, the challenges encountered resemble those in turbulence, which is exemplified in a comparison with the Rayleigh-Taylor instability. View full abstract»

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  • Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters

    Publication Year: 2012, Page(s):40 - 51
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3292 KB) | HTML iconHTML

    More accurate than mean-field methods and more scalable than quantum chemical methods, continuum quantum Monte Carlo (QMC) is an invaluable tool for predicting the properties of matter from fundamental principles. Because QMC algorithms offer multiple forms of parallelism, they're ideal candidates for acceleration in the many-core paradigm. View full abstract»

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  • Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes

    Publication Year: 2012, Page(s):52 - 63
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1432 KB) | HTML iconHTML

    Legacy scientific codes are often repurposed to fit adaptive needs, but making such code adaptive without changing the original source programs can be challenging. Adaptive Code Collage (ACC) meets this challenge using function-call interception in a language-neutral way at link time, transparently "catching" and redirecting function calls. View full abstract»

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  • The Limits of Reproducibility in Numerical Simulation

    Publication Year: 2012, Page(s):64 - 72
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3538 KB) | HTML iconHTML

    Modern computational simulation's increasing and mainly speed-oriented use of HPC systems often conflicts with the goal of making research reproducible. Indeed, the simulations that result from HPC use often behave reproducibly in only a limited way As a discussion of this phenomenon's technical background describes, the problems entailed will be very difficult to overcome. View full abstract»

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  • Motivation, Awareness, and Perceptions of Computational Science

    Publication Year: 2012, Page(s):74 - 79
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (874 KB) | HTML iconHTML

    To meet the urgent need for a well-prepared CS&E workforce, we must better understand how students perceive the field. View full abstract»

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  • Managing State

    Publication Year: 2012, Page(s):80 - 86
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4349 KB) | HTML iconHTML

    The notion of state is fundamental to the study of dynamical systems. State refers to the minimal set of information that fully describes the system at a specific time. The simplest state model is found in Fortran 77, where a program's state consists of the values of all its scalar variables and of all the elements of all arrays, the statement to be executed next, and the statements at which execu... View full abstract»

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  • Computing in Science & Engineering Commends Volunteer Reviewers

    Publication Year: 2012, Page(s): 87
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  • "Supercomputers are awesome and why I love what I DO!!!"

    Publication Year: 2012, Page(s): 88
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  • [Advertisement - Back cover]

    Publication Year: 2012, Page(s): c3
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  • [Advertisement - Back cover]

    Publication Year: 2012, Page(s): c4
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Aims & Scope

The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. Computing in Science & Engineering (CiSE) is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Jim X. Chen
George Mason University
jchen@cs.gmu.edu