2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] 2015
DOI: 10.1109/iccpct.2015.7159395
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A novel floating point comparator using parallel tree structure

Abstract: In recent years, floating point numbers are widely adopted due to its good robustness against quantization errors and high dynamic range capabilities. In this paper, a novel single-precision floating point comparator design is proposed. A parallel prefix tree structure is literally the back bone of this comparator design. This is designed using Verilog code, simulated and synthesised using CADENCE ENCOUNTER tool with TSMC 180nm technology. The proposed comparator fully supports single precision floating-point … Show more

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Cited by 2 publications
(2 citation statements)
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References 10 publications
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“…Based on results presented in [13], a simple precision addition requires an area of 38560 µm 2 and consumes 2.15 mW, and a multiplication occupies an area of 44953 µm 2 and consumes 6.957 mW. In [14], a comparator has an area of 2771 µm 2 and consumes 84.52 µW. Considering the field F 2 6 and assuming that all operations are carried out in parallel, the kernel node (a VN + a CN) of the SC-MS reduces the area by 50.66% (from 353.09 mm 2 to 174.22 mm 2 ), also one can see a power consumption saving of 75.68% (from 38.771 W to 9.428 W).…”
Section: Complexity Of Sc-based Decodersmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on results presented in [13], a simple precision addition requires an area of 38560 µm 2 and consumes 2.15 mW, and a multiplication occupies an area of 44953 µm 2 and consumes 6.957 mW. In [14], a comparator has an area of 2771 µm 2 and consumes 84.52 µW. Considering the field F 2 6 and assuming that all operations are carried out in parallel, the kernel node (a VN + a CN) of the SC-MS reduces the area by 50.66% (from 353.09 mm 2 to 174.22 mm 2 ), also one can see a power consumption saving of 75.68% (from 38.771 W to 9.428 W).…”
Section: Complexity Of Sc-based Decodersmentioning
confidence: 99%
“…The message û = (û n 0 , ..., ûn N −1 ) can be estimated using (17), (18), (19), and (9). The hard decision u n i is obtained using (14), where L n i is replaced by I n i for i = 0, ..., N − 1. The operators used in the quantized SC-MS decoder require Q m + 1 bits of precision.…”
Section: B Update Rules For Sc-ms Decodersmentioning
confidence: 99%