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	Computing in Science and Engineering IEEE Computer Society         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 27 reviews Date Reviewed     Collaborative science workflows in SQL Howe B., Ribalet F., Chitnis S., Armbrust G., Halperin D. Computing in Science and Engineering 15(3): 22-31, 2013.  Type: Article Managing scientific data for shared collaborative research has become a topic of growing importance. This is due in part to the increasing volume of data and technological advances that favor online, distributed, and massive data inves... Feb 3 2014   Clojure for number crunching on multicore machines Kalin M., Miller D. Computing in Science and Engineering 14(6): 12-23, 2012.  Type: Article Scientific programmers will find this paper to be a fine introduction to the Clojure language and the Clojure features suitable for parallel applications in multicore environments. However, it contains nothing that will be new to anyon... Dec 30 2013   Education, outreach, and training for high-performance computing Joiner D., Peck C., Murphy T., Gray P. Computing in Science and Engineering 10(5): 40-45, 2008.  Type: Article How many times have educators been told that they need to present real-world situations to their students or bring the world into the classroom? High-performance computing (HPC) education, outreach, and training (EOT) are necessary for... Apr 21 2009   High-dimensionality data reduction with Java Villalón E. Computing in Science and Engineering 10(5): 64-69, 2008.  Type: Article This paper describes how the author used the Java Media Framework to implement some rudimentary dimensionality reduction techniques on videos, in order to make them more easily tractable for further processing. She targets two applicat... Mar 26 2009   Exposing Fortran derived types to C and other languages Pletzer A., McCune D., Muszala S., Vadlamani S., Kruger S. Computing in Science and Engineering 10(4): 86-92, 2008.  Type: Article With the ever-increasing size and complexity of modern applications, it is more and more common that we need to use components written in different programming languages, for efficiency reasons or to integrate legacy code. This necessi... Mar 12 2009   Transforming scientists through technical education: a view from the trenches Pennington D., Michener W., Katz S., Downey L., Schildhauer M. Computing in Science and Engineering 10(5): 28-33, 2008.  Type: Article This paper presents the results of two US National Science Foundation (NSF) projects: Science Environment for Ecological Knowledge (SEEK) and Science Design (SciDesign). These projects focus on the strategies adopted to target R... Mar 11 2009   Measuring high-performance computing with real applications Sayeed M., Bae H., Zheng Y., Armstrong B., Eigenmann R., Saied F. Computing in Science and Engineering 10(4): 60-70, 2008.  Type: Article This paper is a foundation work, presenting an ever-evolving pattern for the creation of benchmark evaluations, specifically kernel and application benchmarks, for assessing a group of hardware platforms. It explains the uncertainties ... Dec 12 2008   Toward prediction of environmental arctic change Maslowski W., Clement Kinney J., Jakacki J. Computing in Science and Engineering 9(6): 29-34, 2007.  Type: Article Understanding the effects of climate change on the environment is very important in evaluating the impact of global warming. Improving models of these effects is necessary for understanding and accurately predicting future effects. Thi... Mar 19 2008   The clustered causal state algorithm: efficient pattern discovery for lossy data-compression applications Schmiedekamp M., Subbu A., Phoha S. Computing in Science and Engineering 8(5): 59-67, 2006.  Type: Article Some heuristic methods for constructing finite Markov chains to approximate an observed data stream are described in this paper. The main idea is to apply these techniques to data compression where loss is allowed, such as with video s... Jan 24 2007   Gauss-Vanícek spectral analysis of the Sepkoski compendium: no new life cycles Omerbashich M. Computing in Science and Engineering 8(4): 26-30, 2006.  Type: Article The Sepkoski compendium is the world’s most complete fossil record. This paper applies a Gauss-Vanícek (GV) spectral approach to analyze genera variations from the Sepkoski compendium. The paper focuses on th... Dec 7 2006       Display 510152550100 per column
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