Computing in Science & Engineering Physics, medicine, astronomy — these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format.

  • Visually Augmenting Documents With Data
    on 二月 15, 2019 at 12:10 上午

    “A picture is worth a thousand words” is a famous English saying. It is true in many cases, because a complex idea or data can be simply conveyed through the use of a single static image or diagram. Therefore, inclusion of graphics and visualizations in scientific texts has been an important aspect ever since researchers started publishing articles. Conventional writing styles allow researchers to provide images, graphs, and tables to enhance the readability and understandability of the text, but usually, these large-scale images need to be placed at a slightly different location from the relevant text, either on the same page or on the next pages. This far-off placement of graphics forces readers to switch their attention between text and graphics, which can cause a split-attention effect, thereby increasing the cognitive effort to comprehend the information. […]

  • User-Centered Design and Experimentation to Develop Effective Software for Evidence-Based Reasoning in the Intelligence Community: The TRACE Project
    on 二月 6, 2019 at 11:22 下午

    Improving reasoning in intelligence analysis is of vital national importance. The trackable reasoning and analysis for crowdsourcing and evaluation project takes a user-centered design approach combined with rigorous experimentation to ascertain effective structured techniques to support high-quality reasoning. Results suggest a light structure is more effective than a rigid structure. […]

  • IEEE COMPUTER SOCIETY: Be at the Center of It All
    on 一月 28, 2019 at 5:16 下午

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  • Mixed Precision: A Strategy for New Science Opportunities
    on 一月 25, 2019 at 10:05 下午

    Since the days of vector supercomputers, computational scientists have relied on high-precision arithmetic to accurately solve problems. But changes to hardware, spurred by the demand for more computing capability and growth in machine learning, have researchers considering lower precision alternatives. […]

  • ERRATUM
    on 一月 25, 2019 at 10:05 下午

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