Computing in Science & Engineering

Issue 5 • Sept.-Oct. 2013

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

    Publication Year: 2013, Page(s): c1
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  • Call for papers

    Publication Year: 2013, Page(s): c2
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  • [Masthead]

    Publication Year: 2013, Page(s): 1
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  • Table of contents

    Publication Year: 2013, Page(s):2 - 3
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  • Beyond Big Data?

    Publication Year: 2013, Page(s):4 - 5
    Cited by:  Papers (3)
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  • All the Way to CUDA [Book review]

    Publication Year: 2013, Page(s):6 - 8
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  • Machine Learning [Guest editor's introduction]

    Publication Year: 2013, Page(s):9 - 11
    Cited by:  Papers (1)
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  • Interactive Machine Learning in Data Exploitation

    Publication Year: 2013, Page(s):12 - 20
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7970 KB) | HTML iconHTML

    The goal of interactive machine learning is to help scientists and engineers exploit more specialized data from within their deployed environment in less time, with greater accuracy and fewer costs. A basic introduction to the main components is provided here, untangling the many ideas that must be combined to produce practical interactive learning systems. This article also describes recent devel... View full abstract»

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  • IEEE Computer Society Information

    Publication Year: 2013, Page(s): 21
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  • Revisiting Computational Thermodynamics through Machine Learning of High-Dimensional Data

    Publication Year: 2013, Page(s):22 - 31
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2916 KB) | HTML iconHTML

    A new perspective on alloy thermodynamics computation uses data-driven analysis and machine learning for the design and discovery of materials. The focus is on an integrated machine-learning framework, coupling different genres of supervised and unsupervised informatics techniques, and bridging two distinct viewpoints: continuum representations based on solid solution thermodynamics and discrete h... View full abstract»

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  • Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning

    Publication Year: 2013, Page(s):32 - 40
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2418 KB) | HTML iconHTML

    Given the impact of climate change, understanding the climate system is an international priority. The goal of climate informatics is to inspire collaboration between climate scientists and data scientists, in order to develop tools to analyze complex and ever-growing amounts of observed and simulated climate data, and thereby bridge the gap between data and understanding. Here, recent climate inf... View full abstract»

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  • myComputer [Advertisement]

    Publication Year: 2013, Page(s): 41
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  • Discrete Hodge Theory on Graphs: A Tutorial

    Publication Year: 2013, Page(s):42 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2705 KB) | HTML iconHTML

    Hodge theory provides a unifying view of the various line, surface, and volume integrals that appear in physics and engineering applications. Hodge theory on graphs develops discrete versions of the differential forms found in the continuous theory and enables a graph decomposition into gradient, solenoidal, and harmonic components. Interpreted via similarity to gradient, curl, and Laplacian opera... View full abstract»

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  • Improving NASA's Multiscale Modeling Framework for Tropical Cyclone Climate Study

    Publication Year: 2013, Page(s):56 - 67
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2395 KB) | HTML iconHTML

    One of the current challenges in tropical cyclone (TC) research is how to improve our understanding of TC interannual variability and the impact of climate change on TCs. Recent advances in global modeling, visualization, and supercomputing technologies at NASA show potential for such studies. In this article, the authors discuss recent scalability improvement to the multiscale modeling framework ... View full abstract»

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  • Space Weather Prediction and Exascale Computing

    Publication Year: 2013, Page(s):68 - 76
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4076 KB) | HTML iconHTML

    Space weather can have a great effect on Earth's climate. Predicting the impact of space environment disturbances on Earth presents a challenge to scientists. The authors present the ExaScience Lab's efforts, which use exascale computing and new visualization tools to predict the arrival and impact of space events on Earth. View full abstract»

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  • Daydreaming about Scientific Programming

    Publication Year: 2013, Page(s):77 - 79
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1665 KB) | HTML iconHTML

    Did you ever think about what your ideal work environment for scientific programming would be like? This article describes how to do things we don't do (yet) using tools that don't exist (yet). It's about a possible future world of scientific programming. More precisely, it's about the kind of work environment I hope to be able to use one day. The example code uses made-up and possibly incoherent ... View full abstract»

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  • Towards More Accessible Visualizations for Color-Vision-Deficient Individuals

    Publication Year: 2013, Page(s):80 - 87
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6461 KB) | HTML iconHTML

    Various techniques can be used to improve visualization experiences for individuals with color vision deficiency, including recoloring, pattern superposition, and the use of a color-perception simulation model for assisting visualization designers. View full abstract»

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  • Sociable Social Media

    Publication Year: 2013, Page(s): 88
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  • Membership [Advertisement]

    Publication Year: 2013, Page(s): c3
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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