Title :
Design of Goldschmidt Dividers with Quantum-Dot Cellular Automata
Author :
Inwook Kong ; Seong-Wan Kim ; Swartzlander, Earl E.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
A Goldschmidt divider implemented with semiconductor quantum-dot cellular automata (QCA) is described. Most Goldschmidt dividers use a state machine for control, but state machines are difficult to implement in QCAs due to the long delays between the state machines and the computational circuits to be controlled. To resolve this problem, a data tag method is used. The data tags travel with the data and local tag decoders generate control signals. Since each datum has a tag, pipelining can be employed to increase the throughput. Using the new architecture, fixed-point Goldschmidt dividers are implemented with QCA technology.
Keywords :
cellular automata; dividing circuits; finite state machines; fixed point arithmetic; semiconductor quantum dots; Goldschmidt divider design; QCA technology; computational circuits; control signals; data tag method; fixed-point Goldschmidt dividers; local tag decoders; pipelining; semiconductor quantum-dot cellular automata; state machine; CMOS integrated circuits; Clocks; Decoding; Logic gates; Quantum dots; Read only memory; Wires; Goldschmidt divider; Quantum-dot cellular automata; data tag method; iterative divider; sequential circuits;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2013.134
