Isbn: 9783659524950 - an efficient methodology for vlsi circuit partitioning: generating and using a circuit specific crossover points (8 resultados)

Condición: New. pp. 56.

Taschenbuch. Condición: Neu. An Efficient Methodology for VLSI Circuit Partitioning | Generating and using a circuit specific crossover points | Sai Pavan Yaraguti (u. a.) | Taschenbuch | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659524950 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the recent years, with the explosive growth in the density of VLSI circuits, ecient algorithms and methodologies for circuit partitioning have been established as an important area of computer aided design for VLSI. In this book, I explore a novel methodology for the partitioning of VLSI circuits optimizing area, cost and performance according to the user priorities. A data graph representation of a circuit is taken and an optimum crossover point is calculated with the help of graph partitioning algorithms (METIS). This crossover point is used to mutate the individuals in the genetic algorithm to nd the individual with maximum tness. The previous methods available in the literature use random crossover points which sometimes kill competent genes, signicantly increasing the time to nd an optimum solution. The method proposed in this paper intelligently selects a crossover point considering the circuit given to it and then continues according to the algorithm. This method is demonstrated to be more ecient and faster than the previous approaches. 56 pp. Englisch.…

Condición: New. Print on Demand pp. 56 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 56.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the recent years, with the explosive growth in the density of VLSI circuits, ecient algorithms and methodologies for circuit partitioning have been established as an important area of computer aided design for VLSI. In this book, I explore a novel methodology for the partitioning of VLSI circuits optimizing area, cost and performance according to the user priorities. A data graph representation of a circuit is taken and an optimum crossover point is calculated with the help of graph partitioning algorithms (METIS). This crossover point is used to mutate the individuals in the genetic algorithm to nd the individual with maximum tness. The previous methods available in the literature use random crossover points which sometimes kill competent genes, signicantly increasing the time to nd an optimum solution. The method proposed in this paper intelligently selects a crossover point considering the circuit given to it and then continues according to the algorithm. This method is demonstrated to be more ecient and faster than the previous approaches.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yaraguti Sai PavanI work as a Design Verification Engineer for Cirrus Logic, Inc. headquartered in Austin, Texas, USA. We are the premier supplier for high precision analog and digital signal processing components for audio and energ.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the recent years, with the explosive growth in the density of VLSI circuits, ecient algorithms and methodologies for circuit partitioning have been established as an important area of computer aided design for VLSI. In this book, I explore a novel methodology for the partitioning of VLSI circuits optimizing area, cost and performance according to the user priorities. A data graph representation of a circuit is taken and an optimum crossover point is calculated with the help of graph partitioning algorithms (METIS). This crossover point is used to mutate the individuals in the genetic algorithm to nd the individual with maximum tness. The previous methods available in the literature use random crossover points which sometimes kill competent genes, signicantly increasing the time to nd an optimum solution. The method proposed in this paper intelligently selects a crossover point considering the circuit given to it and then continues according to the algorithm. This method is demonstrated to be more ecient and faster than the previous approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.…