2019
DOI: 10.1109/tasc.2019.2900220
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Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms

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Cited by 18 publications
(9 citation statements)
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“…With the logic netlist prepared, we then performed the automated place and route of the KSA using the genetic algorithm (GA) and channel-based routing [12], [13]. The reason for using GA was to try to solve the constraints of signal propagation in AQFP circuits by finding a quality placement of cells such that the interconnect length between adjacent logic rows do not surpass the driving length constraint.…”
Section: Design Of the 16-bit Ksamentioning
confidence: 99%
“…With the logic netlist prepared, we then performed the automated place and route of the KSA using the genetic algorithm (GA) and channel-based routing [12], [13]. The reason for using GA was to try to solve the constraints of signal propagation in AQFP circuits by finding a quality placement of cells such that the interconnect length between adjacent logic rows do not surpass the driving length constraint.…”
Section: Design Of the 16-bit Ksamentioning
confidence: 99%
“…Before implementing MANA, we developed a semi-custom design environment [20] which features a four-phase AQFP cell library [14] in a Cadence design environment that has been augmented with scripts and external programs to do AQFPbased combinational logic synthesis [21] and component-level place and route using the genetic algorithm and left-edge channel routing [22], [28]. Place and route tools operate on adjacent logic rows and are aware of the limited driving ability of AQFP logic cells.…”
Section: A Design Environmentmentioning
confidence: 99%
“…We applied our combinational logic synthesis along with place and route on the ID unit of the IDI stage and the data shifter unit of the EX stage. The shifter was our first example in which we showed a full demonstration from a behavioral Verilog description to a working circuit in experiments [20], [22]. In this work, the ID unit was also synthesized using a subset of an RTL description of MANA.…”
Section: B Combinational Logic Designmentioning
confidence: 99%
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“…Genetic algorithms solve the global optimization problems by means of natural evolutionary criteria and are widely used in the optimization field [25]- [27]. However, genetic algorithms can only solve the single-objective optimization problem, and cannot directly obtain the Pareto optimal solutions [28].…”
Section: ) Design Of Moga Based On Nsga-iimentioning
confidence: 99%