Fast Sign Detection Algorithm for the RNS Moduli Set \-1, 2^-1, 2
This brief presents a fast sign detection algorithm for the residue number system moduli set {2 n+1 - 1, 2 n - 1, 2 n }. First, a sign detection algorithm for the restricted moduli set is described. The new algorithm allows for parallel implementation and consists exclusively of modulo 2 n additions...
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| Published in | IEEE transactions on very large scale integration (VLSI) systems Vol. 23; no. 2; pp. 379 - 383 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.02.2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1063-8210 1557-9999 |
| DOI | 10.1109/TVLSI.2014.2308014 |
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| Abstract | This brief presents a fast sign detection algorithm for the residue number system moduli set {2 n+1 - 1, 2 n - 1, 2 n }. First, a sign detection algorithm for the restricted moduli set is described. The new algorithm allows for parallel implementation and consists exclusively of modulo 2 n additions. Then, a sign detection unit for the moduli set {2 n+1 - 1, 2 n - 1, 2 n } is proposed based on the new sign detection algorithm. The unit can be implemented using one carry save adder, one comparator and one prefix adder. The experimental results demonstrate that the proposed circuit unit offers 63.8%, 44.9%, and 67.6% savings on average in area, delay and power, respectively, compared with a unit based on one of the best sign detection algorithms. |
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| AbstractList | This brief presents a fast sign detection algorithm for the residue number system moduli set {2 n+1 - 1, 2 n - 1, 2 n }. First, a sign detection algorithm for the restricted moduli set is described. The new algorithm allows for parallel implementation and consists exclusively of modulo 2 n additions. Then, a sign detection unit for the moduli set {2 n+1 - 1, 2 n - 1, 2 n } is proposed based on the new sign detection algorithm. The unit can be implemented using one carry save adder, one comparator and one prefix adder. The experimental results demonstrate that the proposed circuit unit offers 63.8%, 44.9%, and 67.6% savings on average in area, delay and power, respectively, compared with a unit based on one of the best sign detection algorithms. |
| Author | Zhenpeng Bian Minghe Xu Ruohe Yao |
| Author_xml | – sequence: 1 surname: Minghe Xu fullname: Minghe Xu email: uinge@foxmail.com organization: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China – sequence: 2 surname: Zhenpeng Bian fullname: Zhenpeng Bian email: zhenpengbian@163.com organization: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore – sequence: 3 surname: Ruohe Yao fullname: Ruohe Yao email: phrhyao@scut.edu.cn organization: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China |
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| CitedBy_id | crossref_primary_10_1109_TCSII_2020_3035350 crossref_primary_10_1007_s11265_018_1434_z crossref_primary_10_1109_TCSII_2016_2608335 crossref_primary_10_1109_TVLSI_2016_2516522 crossref_primary_10_1016_j_micpro_2023_104940 crossref_primary_10_1007_s11107_021_00941_z crossref_primary_10_1109_MCAS_2020_3027425 crossref_primary_10_1007_s00034_016_0354_z crossref_primary_10_1109_TCSI_2019_2951083 crossref_primary_10_1109_TC_2016_2547381 |
| Cites_doi | 10.1016/j.sysarc.2008.03.003 10.1109/TCSII.2007.900844 10.1109/ARITH.1999.762841 10.1109/12.250610 10.1016/S0898-1221(03)90191-X 10.1109/TC.2008.126 10.1109/TCSI.2008.917994 10.1109/ISCIT.2010.5665060 10.1109/TEC.1962.5219388 10.1109/TC.1983.1676282 |
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| Keywords | residue number system (RNS) sign detection restricted moduli set Computer arithmetic |
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| Snippet | This brief presents a fast sign detection algorithm for the residue number system moduli set {2 n+1 - 1, 2 n - 1, 2 n }. First, a sign detection algorithm for... |
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| StartPage | 379 |
| SubjectTerms | Adders Computer arithmetic Delays Detection algorithms Hardware Optimization residue number system (RNS) restricted moduli set sign detection Very large scale integration |
| Title | Fast Sign Detection Algorithm for the RNS Moduli Set \-1, 2^-1, 2 |
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