منابع مشابه
Sparse Matrix Storage Format
Operations on Sparse Matrices are the key computational kernels in many scientific and engineering applications. They are characterized with poor substantiated performance. It is not uncommon for microprocessors to gain only 10-20% of their peak floating-point performance when doing sparse matrix computations even when special vector processors have been added as coprocessor facilities. In this...
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Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computations with such matrices, thus their implementation should be very carefully designed. In this paper we discuss three implementations of sparse matrices. The first one is classical, based on lists. The second is previ...
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2016
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2016.0534003