IJASCSE, Volume 2, Special Issue 2, 2013
نویسنده
چکیده
The aim of this paper is to provide a description of deep-learning-based scheduling approach for academicpurpose high-performance computing systems. Academicpurpose distributed computing systems’ (DCS) share reaches 17.4% amongst TOP500 supercomputer sites (15.6% in performance scale) that make them a valuable object of research. The core of this approach is to predict the future workflow of the system depending on the previously submitted tasks using deep learning algorithm. Information on predicted tasks is used by the resource management system (RMS) to perform efficient schedule.
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IJASCSE, Volume 2, Special Issue 2, 2013
The performance of GA is measured and analyzed in terms of its performance parameters against variations in its genetic operators and associated parameters. Since last four decades huge numbers of researchers have been working on the performance of GA and its enhancement. This earlier research work on analyzing the performance of GA enforces the need to further investigate the exploration and e...
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There are a lot of intensive researches on handwritten character recognition (HCR) for almost past four decades. The research has been done on some of popular scripts such as Roman, Arabic, Chinese and Indian. In this paper we present a review on HCR work on the four popular scripts. We have summarized most of the published paper from 2005 to recent and also analyzed the various methods in crea...
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متن کاملIJASCSE Volume 2, Special Issue 1, 2013
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