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Computing in Science & Engineering

Issue 6 • Date Nov.-Dec. 2011

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Displaying Results 1 - 22 of 22
  • [Front cover]

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

    Publication Year: 2011, Page(s): c2
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  • [Masthead]

    Publication Year: 2011, Page(s): 1
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  • Contents

    Publication Year: 2011, Page(s):2 - 3
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  • Just Try

    Publication Year: 2011, Page(s):4 - 5
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  • Books

    Publication Year: 2011, Page(s):6 - 9
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  • Big Data

    Publication Year: 2011, Page(s):10 - 13
    Cited by:  Papers (11)
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  • Data-Intensive Science in the US DOE: Case Studies and Future Challenges

    Publication Year: 2011, Page(s):14 - 24
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3500 KB) | HTML iconHTML

    Given its leading role in high-performance computing for modeling and simulation and its many experimental facilities, the US Department of Energy has a tremendous need for data-intensive science. Locating the challenges and commonalities among three case studies illuminates, in detail, the technical challenges involved in realizing data-intensive science. View full abstract»

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  • Data-Intensive Scalable Computing for Scientific Applications

    Publication Year: 2011, Page(s):25 - 33
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1983 KB) | HTML iconHTML

    Increasingly, scientific computing applications must accumulate and manage massive datasets, as well as perform sophisticated computations over these data. Such applications call for data-intensive scalable computer (DISC) systems, which differ in fundamental ways from existing high-performance computing systems. View full abstract»

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  • Extreme Data-Intensive Scientific Computing

    Publication Year: 2011, Page(s):34 - 41
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1891 KB) | HTML iconHTML

    Scientific computing increasingly involves massive data; in astronomy, observations and numerical simulations are on the verge of generating petabytes. This new, data-centric computing requires a new look at computing architectures and strategies. Using Amdahl's law to characterize architectures and workloads, it's possible to use existing commodity parts to build systems that approach an ideal Am... View full abstract»

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  • Massively Parallel Neural Signal Processing on a Many-Core Platform

    Publication Year: 2011, Page(s):42 - 51
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2147 KB) | HTML iconHTML

    Although the ensemble empirical mode decomposition (EEMD) method and Hilbert-Huang transform (HHT) offer an unrivaled opportunity to understand neural signals, the EEMD algorithm's complexity and neural signals' massive size have hampered EEMD application. However, a new approach using a many-core platform has proven both efficient and effective for massively parallel neural signal processing. View full abstract»

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  • Visualizing 3D Earthquake Simulation Data

    Publication Year: 2011, Page(s):52 - 63
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5635 KB) | HTML iconHTML

    As exemplified in a state-of-the-art bridge-foundation-ground model simulation, a suite of new visualization techniques let scientists study seismic waves and interactively investigate and explore their data. In so doing, the techniques further scientific understanding and thus facilitate the development of new methods to protect real-world infrastructures against otherwise devastating earthquakes... View full abstract»

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  • General-Relativistic Visualization

    Publication Year: 2011, Page(s):64 - 71
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4326 KB) | HTML iconHTML

    General-relativistic visualization helps us understand what we could see when massive objects curve spacetime. View full abstract»

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  • The Numerical Tours of Signal Processing Part 3: Image and Surface Restoration

    Publication Year: 2011, Page(s):72 - 75
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2625 KB) | HTML iconHTML

    The final installment in this three-part series focuses on the main features of the NTSP online tutorials for image and surface restoration. View full abstract»

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  • SCC: A Flexible Architecture for Many-Core Platform Research

    Publication Year: 2011, Page(s):79 - 83
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (933 KB) | HTML iconHTML

    The Single-chip Cloud Computer (SCC) experimental processor by Intel Labs is a "concept vehicle" aimed at scaling future multicore processors and serving as a software research platform. View full abstract»

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  • Coupled Time Series Analysis: Methods and Applications

    Publication Year: 2011, Page(s):84 - 89
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1449 KB) | HTML iconHTML

    As this review describes, coupled time series can be analyzed by different methods, including complex network and random matrix approaches. View full abstract»

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  • Using the Data Access Protocol with IDL

    Publication Year: 2011, Page(s):90 - 95,89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1358 KB) | HTML iconHTML

    The Data Access Protocol provides a convenient and powerful solution for remote data access required by scientists and other users of the Interactive Data Language. View full abstract»

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  • It's More Fun to Compose

    Publication Year: 2011, Page(s): 96
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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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  • CiSE 2011 Annual Index

    Publication Year: 2011, Page(s): i
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  • NASA Computational Case Study Characterizing Moving Particles

    Publication Year: 2011, Page(s):76 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (764 KB) | HTML iconHTML Multimedia Media

    Studying small particles is of interest to NASA scientists for many applications, such as characterizing the lunar and Martian dust environments. In this homework, we characterize the motion of small particles using image analysis. View full abstract»

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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.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
George K. Thiruvathukal
Loyola University