2019 IEEE 26th Symposium on Computer Arithmetic (ARITH) 2019
DOI: 10.1109/arith.2019.00034
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An Ultra-Fast Parallel Prefix Adder

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Cited by 15 publications
(6 citation statements)
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“…Its symmetry and regular construction structure greatly decreases production costs and allows it to be employed in pipelined topologies. With a chip size of O (n log n), the addition of n-bit numbers can be done in time O (log n), making it a good choice when there are area limitations while maximizing performance [11].…”
Section: Brent-kung Addermentioning
confidence: 99%
“…Its symmetry and regular construction structure greatly decreases production costs and allows it to be employed in pipelined topologies. With a chip size of O (n log n), the addition of n-bit numbers can be done in time O (log n), making it a good choice when there are area limitations while maximizing performance [11].…”
Section: Brent-kung Addermentioning
confidence: 99%
“…Adders come in different varieties, and each has a distinct function and significance [1]. The choice of adder type is contingent upon the intended application [2]. In order to achieve high accuracy and minimal space consumption, adders must be able to compute more quickly.…”
Section: Introductionmentioning
confidence: 99%
“…The carry chain is the main disadvantage of binary addition. [2] [3]. The carry chain's length grows in tandem with the width of the input operands.…”
Section: Introductionmentioning
confidence: 99%
“…Though, bit-wise logical operations can be trivially performed in parallel at any sub-atomic data boundary, yet, the case of arithmetic or shift operations is not as straightforward due to the issue of carry/borrow propagation. This problem of carry/borrow propagation has been studied at length and various designs have been proposed [5]- [11]. The focus of all of these efforts has been on reducing the latency and/or increasing the throughput, albeit at the cost of increased area and power.…”
Section: Introductionmentioning
confidence: 99%
“…1. The semantics of blocks gpt, red, car and sum have been borrowed from [5], while the dark small rectangles are pipeline registers. Block gpt computes three signals Generate(g i ), Propagate(p i ) and Transmit(t i ) locally at individual bit positions i.…”
Section: Introductionmentioning
confidence: 99%