Two-stage logarithmic converter with reduced memory requirements
This study presents an efficient method for converting a normalised binary number x (1 ≤ x < 2) into a binary logarithm. The algorithm requires less memory and fewer arithmetic components to achieve 23 bits of fractional precision than other algorithms using uniform and non-uniform piecewise line...
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| Published in | Chronic diseases and translational medicine Vol. 8; no. 1; pp. 23 - 29 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Stevenage
The Institution of Engineering and Technology
01.01.2014
Institution of Engineering and Technology John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8601 1751-861X 2095-882X 1751-861X 2589-0514 |
| DOI | 10.1049/iet-cdt.2012.0134 |
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| Abstract | This study presents an efficient method for converting a normalised binary number x (1 ≤ x < 2) into a binary logarithm. The algorithm requires less memory and fewer arithmetic components to achieve 23 bits of fractional precision than other algorithms using uniform and non-uniform piecewise linear or piecewise polynomial techniques and requires less than 20 kbits of ROM and a maximum of three multipliers. It is easily extensible to higher numeric precision and has been implemented on Xilinx Spartan3 and Spartan6 field programmable gate arrays (FPGA) to show the effect of recent architectural enhancements to the reconfigurable fabric on implementation efficiency. Synthesis results confirm that the algorithm operates at a frequency of 42.3 MHz on a Spartan3 device and 127.8 MHz on a Spartan6 with a latency of two clocks. This increases to 71.4 and 160 MHz, respectively, when the latency is increased to eight clocks. On a Spartan6 XC6SLX16 device, the converter uses just 55 logic slices, three multipliers and 11.3kbits of Block RAM configured as ROM. |
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| AbstractList | This study presents an efficient method for converting a normalised binary number x (1 ≤ x < 2) into a binary logarithm. The algorithm requires less memory and fewer arithmetic components to achieve 23 bits of fractional precision than other algorithms using uniform and non-uniform piecewise linear or piecewise polynomial techniques and requires less than 20 kbits of ROM and a maximum of three multipliers. It is easily extensible to higher numeric precision and has been implemented on Xilinx Spartan3 and Spartan6 field programmable gate arrays (FPGA) to show the effect of recent architectural enhancements to the reconfigurable fabric on implementation efficiency. Synthesis results confirm that the algorithm operates at a frequency of 42.3 MHz on a Spartan3 device and 127.8 MHz on a Spartan6 with a latency of two clocks. This increases to 71.4 and 160 MHz, respectively, when the latency is increased to eight clocks. On a Spartan6 XC6SLX16 device, the converter uses just 55 logic slices, three multipliers and 11.3kbits of Block RAM configured as ROM. [PUBLICATION ABSTRACT] This study presents an efficient method for converting a normalised binary number x (1 ≤ x < 2) into a binary logarithm. The algorithm requires less memory and fewer arithmetic components to achieve 23 bits of fractional precision than other algorithms using uniform and non‐uniform piecewise linear or piecewise polynomial techniques and requires less than 20 kbits of ROM and a maximum of three multipliers. It is easily extensible to higher numeric precision and has been implemented on Xilinx Spartan3 and Spartan6 field programmable gate arrays (FPGA) to show the effect of recent architectural enhancements to the reconfigurable fabric on implementation efficiency. Synthesis results confirm that the algorithm operates at a frequency of 42.3 MHz on a Spartan3 device and 127.8 MHz on a Spartan6 with a latency of two clocks. This increases to 71.4 and 160 MHz, respectively, when the latency is increased to eight clocks. On a Spartan6 XC6SLX16 device, the converter uses just 55 logic slices, three multipliers and 11.3kbits of Block RAM configured as ROM. This study presents an efficient method for converting a normalised binary number x (1 less than or equal to x < 2) into a binary logarithm. The algorithm requires less memory and fewer arithmetic components to achieve 23 bits of fractional precision than other algorithms using uniform and non-uniform piecewise linear or piecewise polynomial techniques and requires less than 20 kbits of ROM and a maximum of three multipliers. It is easily extensible to higher numeric precision and has been implemented on Xilinx Spartan3 and Spartan6 field programmable gate arrays (FPGA) to show the effect of recent architectural enhancements to the reconfigurable fabric on implementation efficiency. Synthesis results confirm that the algorithm operates at a frequency of 42.3 MHz on a Spartan3 device and 127.8 MHz on a Spartan6 with a latency of two clocks. This increases to 71.4 and 160 MHz, respectively, when the latency is increased to eight clocks. On a Spartan6 XC6SLX16 device, the converter uses just 55 logic slices, three multipliers and 11.3kbits of Block RAM configured as ROM. |
| Author | Chaudhary, Mandeep Lee, Peter |
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| CitedBy_id | crossref_primary_10_1109_TCSII_2014_2386252 crossref_primary_10_1007_s00542_016_3105_y crossref_primary_10_1007_s00542_018_3745_1 crossref_primary_10_1007_s00542_016_3238_z crossref_primary_10_1049_iet_cdt_2016_0100 crossref_primary_10_1007_s00034_022_02073_9 crossref_primary_10_1049_iet_cdt_2014_0102 crossref_primary_10_3390_app14041487 crossref_primary_10_1109_TCSII_2020_2979937 |
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| Keywords | piecewise polynomial techniques arithmetic components block RAM field programmable gate arrays numeric precision reconflgurable fabric reduced memory requirements binary logarithm convertors reconfigurable architectures digital arithmetic logic slices fractional precision multipliers normalised binary number conversion nonuniform piecewise polynomial techniques frequency 71.4 MHz frequency 160 MHz Xilinx Spartan3 FPGA Spartan6 XC6SLX16 device piecewise linear techniques frequency 127.8 MHz read-only storage uniform piecewise polynomial techniques Xilinx Spartan6 FPGA nonuniform piecewise linear techniques frequency 42.3 MHz ROM two-stage logarithmic converter storage capacity 11.3 Kbit uniform piecewise linear techniques Performance evaluation Arithmetic circuit Read only memory(ROM) Multistage method Random access memory Field programmable gate array Clock Algorithm Binary number Implementation Non volatile memory Integrated circuit Converter Reconfigurable architectures Piecewise linear system Multiplying circuits Multistage circuit Piecewise linearization |
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| Snippet | This study presents an efficient method for converting a normalised binary number x (1 ≤ x < 2) into a binary logarithm. The algorithm requires less memory and... This study presents an efficient method for converting a normalised binary number x (1 less than or equal to x < 2) into a binary logarithm. The algorithm... |
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| SubjectTerms | Accuracy Algorithms Applied sciences Approximation arithmetic components binary logarithm block RAM Circuit properties Clocks Converters convertors Design. Technologies. Operation analysis. Testing Devices digital arithmetic Digital circuits Electric, optical and optoelectronic circuits Electronic circuits Electronics Exact sciences and technology Field programmable gate arrays fractional precision frequency 127.8 MHz frequency 160 MHz frequency 42.3 MHz frequency 71.4 MHz Integrated circuits Integrated circuits by function (including memories and processors) Logic logic slices Mathematical models Multipliers nonuniform piecewise linear techniques nonuniform piecewise polynomial techniques normalised binary number conversion Number systems numeric precision piecewise linear techniques piecewise polynomial techniques read‐only storage reconfigurable architectures reconflgurable fabric reduced memory requirements ROM Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Signal processing Spartan6 XC6SLX16 device storage capacity 11.3 Kbit two‐stage logarithmic converter uniform piecewise linear techniques uniform piecewise polynomial techniques Xilinx Spartan3 FPGA Xilinx Spartan6 FPGA |
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| Title | Two-stage logarithmic converter with reduced memory requirements |
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