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	Browse All Reviews > Computing Methodologies (I) > Computer Graphics (I.3) > Hardware Architecture (I.3.1) > Parallel Processing (I.3.1...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-6 of 6 Reviews about "Parallel Processing (I.3.1...)": Date Reviewed   Optimizing image processing on multi-core CPUs with Intel parallel programming technologies Kim C., Kim J., Lee D. Multimedia Tools and Applications 68(2): 237-251, 2014.  Type: Article A comparison of the use of serial, data, and task parallelism in image processing is presented in this paper. The first part of the paper describes the convolution operations that are used for edge detection during image processing. Th... Jul 9 2015   Boosting CUDA applications with CPU-GPU hybrid computing Lee C., Ro W., Gaudiot J. International Journal of Parallel Programming 42(2): 384-404, 2014.  Type: Article As host processors (central processing units (CPUs)) and accelerators (graphics processing units (GPUs)) evolve to become more efficient for parallel workloads, the performance penalty for allowing either resource to remain idle is too... Nov 3 2014   Development of parallel explicit finite element sheet forming simulation system based on GPU architecture Cai Y., Li G., Wang H., Zheng G., Lin S. Advances in Engineering Software 45(1): 370-379, 2012.  Type: Article A new parallel method is proposed by the authors to improve the time response for simulating sheet-forming in the automotive manufacturing process. The method is based on a known explicit nonlinear finite element method. The novelty li... Nov 19 2012   Time-optimal, space-efficient single-scanner snapshots & multi-scanner snapshots using CAS Fatourou P., Kallimanis N.  Principles of distributed computing (Proceedings of the Twenty-Sixth Annual ACM Symposium on Principles of Distributed Computing, Portland, Oregon, Aug 12-15, 2007) 33-42, 2007.  Type: Proceedings An important issue in multiprocess systems is getting consistent views of shared memory. One solution is to use a snapshot object that is shared by all processes.... Nov 15 2007   Parallel volume rendering and data coherence Corrie B., Mackerras P.  Parallel rendering (Proceedings of the 1993 symposium, San Jose, California, United States, Oct 25-26, 1993) 23-26, 1993.  Type: Proceedings Because of the sizes of the data sets (over 128 MB) involved, a data parallel approach is often preferred in parallel volume rendering. With this approach, the data are partitioned and distributed over the nodes, and tasks are assigned... Jul 1 1994   Guest Editor’s Introduction: Parallel Processing for Computer Vision and Image Understanding Choudhary A., Ranka S. Computer 25(2): 7-10, 1992.  Type: Article In this introduction to a special issue of Computer, the authors characterize the importance of parallel computing to image processing in computer vision, one of the “grand challenges” in the US government&am... Jun 1 1993       Display 510152550100 per page
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