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Computing in Science & Engineering

Issue 1 • Jan.-Feb. 2014

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Displaying Results 1 - 24 of 24
  • [Front cover]

    Publication Year: 2014, Page(s): c1
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  • Membership Matters [Advertisement]

    Publication Year: 2014, Page(s): c2
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  • [Masthead]

    Publication Year: 2014, Page(s): 1
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  • Table of contents

    Publication Year: 2014, Page(s):2 - 3
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  • Becoming a Computational Scientist

    Publication Year: 2014, Page(s):4 - 5
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  • Finally, a Python-Based Computational Physics Text

    Publication Year: 2014, Page(s):6 - 7
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  • DDDAS-Based Parallel Simulation of Threat Management for Urban Water Distribution Systems

    Publication Year: 2014, Page(s):8 - 17
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (630 KB) | HTML iconHTML

    Contaminant source characterization (CSC) in a water distribution system (WDS) exhibits a computationally intensive problem. Traditional solutions to the CSC problem can't fulfill the CSC's quality-of-service (QoS) requirements. We present a parallel solution using the MapReduce paradigm in the cloud that can deliver a high-performance, fault-tolerant, and flexible solution. View full abstract»

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  • Evaluating a Special Class of Two-Body Integrals through Maple's Integral Routine Extension

    Publication Year: 2014, Page(s):18 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML Multimedia Media

    An integral result inspired by previous work is investigated numerically and analytically. As results show, a custom-made integration routine is several times faster than the native routines, which might be beneficial for cases in which many integrals must be carried out. Based on a result from 1975 by Herrick and Stillinger, we present a custom integral routine written in Maple. This routine is s... View full abstract»

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  • Importance-Driven Isosurface Decimation for Visualization of Large Simulation Data Based on OpenCL

    Publication Year: 2014, Page(s):24 - 32
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2611 KB) | HTML iconHTML

    A new way to define mesh importance for decimation uses transfer functions and visualizes large simulation data in cases where normal visualization methods are insufficient due to memory limit. Next, a parallel isosurface simplification framework uses pyramid peeling to extract the decimated meshes progressively without generating the original surface. A new way to define mesh importance for decim... View full abstract»

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  • IEEE Computer Society [Advertisement]

    Publication Year: 2014, Page(s): 33
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  • Portable Parallel Programs with Python and OpenCL

    Publication Year: 2014, Page(s):34 - 40
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1237 KB) | HTML iconHTML

    Two Python modules are presented: pyOpenCL, a library that enables programmers to write Open Common Language (OpenCL) code within Python programs; and ocl, a Python-to-C converter that lets developers write OpenCL kernels using the Python syntax. Like CUDA, OpenCL is designed to run on multicore GPUs. OpenCL code can also run on other architectures, including ordinary CPUs and mobile devices, alwa... View full abstract»

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  • Get Hot Topic Insights from Industry Leaders [Advertisement]

    Publication Year: 2014, Page(s): 41
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  • Simulation and Visualization of Few-Body Systems and the Differential Precession of Mercury

    Publication Year: 2014, Page(s):42 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1347 KB) | HTML iconHTML Multimedia Media

    An approach investigates the applicability of a modified, symplectic leapfrog method with self-adjusted step-size control to the simulations of few-body Hamiltonian systems. The method is then applied to the direct calculation of the differential precession of Mercury due to general relativity and other planets. View full abstract»

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  • Digital Magazines [Advertisement]

    Publication Year: 2014, Page(s): 51
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  • Domain-Specific Languages for Developing and Deploying Signature Discovery Workflows

    Publication Year: 2014, Page(s):52 - 64
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3582 KB) | HTML iconHTML

    Domain-agnostic signature discovery supports scientific investigation across domains through algorithm reuse. A new software tool defines two simple domain-specific languages that automate processes that support the reuse of existing algorithms in different workflow scenarios. The tool is demonstrated with a signature discovery workflow composed of services that wrap original scripts running high-... View full abstract»

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  • IEEE STC 2014

    Publication Year: 2014, Page(s): 65
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  • What Can We Learn From Seventh Graders?

    Publication Year: 2014, Page(s):66 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (842 KB) | HTML iconHTML

    In education, consider three comanity subjects that aren't counted but should be: language use, mental models, and the DIKW hierarchy. Then factor in how a seventh grader tackles a simple word problem. In learning, there are content and processes. Consider three comanity processes: language use, mental models, and the DIKW hierarchy. Then factor in how a seventh grader tackles a simple word proble... View full abstract»

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  • ePub [Advertisement]

    Publication Year: 2014, Page(s): 69
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  • A Scientist's Guide to Cloud Computing

    Publication Year: 2014, Page(s):70 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    New tools (some commercial and even public), have made it so that dealing with the cloud and running large-scale processing can be rather easy and efficient. Cloud's appeal for science is clear: simplicity, elasticity (that is, the availability of large resources on the spot by launching as many instances as needed), true reproducibility (the virtual machine and the code running on that machine ca... View full abstract»

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  • IEEE Computer Society - Rock stars of mobile cloud [future event]

    Publication Year: 2014, Page(s): 77
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  • Two Approaches to Facilitate Virtual Lab Implementation

    Publication Year: 2014, Page(s):78 - 86
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2520 KB) | HTML iconHTML

    Here, two software tools are presented that facilitate virtual lab implementation: Interactive and Rand Model Designer. Interactive is a free Modelica library that's used in combination with the Dymola modeling environment. Rand Model Designer supports Model Vision Language, an object-oriented modeling language based on the Unified Modeling Language (UML). View full abstract»

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  • Call for papers

    Publication Year: 2014, Page(s): 87
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  • Python Power

    Publication Year: 2014, Page(s): 88
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  • IEEE Cloud Computing [Advertisement]

    Publication Year: 2014, 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.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
George K. Thiruvathukal
Loyola University