在线算法在奇异值分解计算中的应用:初步结果

P. Tu, M. Ercegovac
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引用次数: 8

摘要

讨论了一种基于在线算法的奇异值分解(SVD)问题的解决方案。该设计采用基数-2浮点在线运算,在LSI HCMOS门阵列技术中实现,并与兼容的传统算法实现进行了比较。初步结果表明,与传统方法相比,该方法的速度提高了2.4-3.2,门数增加了1.3-5.5,互连数减少了6倍以上。
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Application of on-line arithmetic algorithms to the SVD computation: preliminary results
A scheme for the singular value decomposition (SVD) problem, based on online arithmetic, is discussed. The design, using radix-2 floating-point online operations, implemented in the LSI HCMOS gate-array technology, is compared with a compatible conventional arithmetic implementation. The preliminary results indicate that the proposed online approach achieves a speedup of 2.4-3.2 with respect to the conventional solutions, with 1.3-5.5 more gates and more than 6 times fewer interconnections.<>
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