2009 20th IEEE International Conference on Application-Specific Systems, Architectures and Processors 2009
DOI: 10.1109/asap.2009.35
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A Low Power High Performance Radix-4 Approximate Squaring Circuit

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Cited by 18 publications
(4 citation statements)
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“…10, the delay and power of the proposed architecture have been compared with the Radix-4 Booth encoded squarer architecture for bit size n ≥ 64. Furthermore, application specific integrated circuit (ASIC) design has been performed for 8,12,16 and 32 bit squaring architectures using Cadence Spectre Virtuoso 6.1.4 with 180 nm technology with 1.8 V DC power supply. The device parameters are contained in gpdk180 model file.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…10, the delay and power of the proposed architecture have been compared with the Radix-4 Booth encoded squarer architecture for bit size n ≥ 64. Furthermore, application specific integrated circuit (ASIC) design has been performed for 8,12,16 and 32 bit squaring architectures using Cadence Spectre Virtuoso 6.1.4 with 180 nm technology with 1.8 V DC power supply. The device parameters are contained in gpdk180 model file.…”
Section: Resultsmentioning
confidence: 99%
“…As a result of that the circuit complexity, power requirement and also the propagation delay due to larger gate count increase drastically [8]. Thus, the task to design the squarer units with less complexity has attracted the attention of the researchers [8][9][10][11][12][13][14][15]. In [13], the method improved the squarer design by developing the folding technique first proposed in [10].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the design utilizes shared circuitry among the floating-point squarer and multiplier circuits to minimize impact due to area increases. If a unit-in-the-last-place (ulp) accurate approximation is the accepted rounding method for the system, a left-to-right approximation squarer such as the one presented in [8,9,10] would be the best choice since floating point circuits only use the n most significant bits if truncation is used. This approach however is not a feasible option because all the IEEE rounding methods are implemented in the floating-point multiplier in [2].…”
Section: Introductionmentioning
confidence: 99%
“…Squaring operations are common in many applications such as floating point divide and square-root [1], cryptography, computation of Euclidean distance among nodes in graphic processing, and rectangular to polar conversion. [7] In many DSP applications the squaring operation is the most commonly used powering operation compared to other higher powering operations. Hence targeting the most commonly used operations would result in maximum savings in terms of area and power.…”
Section: Introductionmentioning
confidence: 99%