Synopsis
Conventional 24x24 multiply architectures are implemented in floating point multipliers using array multipliers, redundant binary architectures( Pipeline Stages), modified booth encoding, a binary tree of 4:2 Compressors (Wallace tree) and modified carry save array in conjunction with Booth's algorithm. There are number of problems associated with tree and array multipliers. Tree multipliers have many problems like shortest logic delay but irregular layouts with complicated interconnects, irregular layouts not only demand more physical design effort, but also introduce significant interconnect delay. Similarly, array multipliers has also some drawbacks associated with them such as they have larger delay and offer regular layout with simpler interconnects. Also significant amount of power consumption as reconfigurability at run time is not provided according to the input bit width. In order to remove the above problems, Urdhvatriyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized. Simulation of 32-bit Floating Point Multiplier and application of Vedic Mathematics is an important part of this dissertation.
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Vedic Mathematics for Binary Applications
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LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 3659543306
ISBN 13: 9783659543302
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Conventional 24x24 multiply architectures are implemented in floating point multipliers using array multipliers, redundant binary architectures( Pipeline Stages), modified booth encoding, a binary tree of 4:2 Compressors (Wallace tree) and modified carry save array in conjunction with Booth's algorithm. There are number of problems associated with tree and array multipliers. Tree multipliers have many problems like shortest logic delay but irregular layouts with complicated interconnects, irregular layouts not only demand more physical design effort, but also introduce significant interconnect delay. Similarly, array multipliers has also some drawbacks associated with them such as they have larger delay and offer regular layout with simpler interconnects. Also significant amount of power consumption as reconfigurability at run time is not provided according to the input bit width. In order to remove the above problems, Urdhvatriyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized. Simulation of 32-bit Floating Point Multiplier and application of Vedic Mathematics is an important part of this dissertation. 52 pp. Englisch. Seller Inventory # 9783659543302
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Vedic Mathematics for Binary Applications
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ISBN 13: 9783659543302
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Vedic Mathematics for Binary Applications
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar AbhijeetAbhijeet Kumar - Assistant Professor, M M University, Mullana, AmbalaM.E, Punjab Engineering College, Chandigarh, B.E, SLIET, Longowal.Conventional 24x24 multiply architectures are implemented in floating point mult. Seller Inventory # 251967527
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Vedic Mathematics for Binary Applications
Published by
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 3659543306
ISBN 13: 9783659543302
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Conventional 24x24 multiply architectures are implemented in floating point multipliers using array multipliers, redundant binary architectures( Pipeline Stages), modified booth encoding, a binary tree of 4:2 Compressors (Wallace tree) and modified carry save array in conjunction with Booth's algorithm. There are number of problems associated with tree and array multipliers. Tree multipliers have many problems like shortest logic delay but irregular layouts with complicated interconnects, irregular layouts not only demand more physical design effort, but also introduce significant interconnect delay. Similarly, array multipliers has also some drawbacks associated with them such as they have larger delay and offer regular layout with simpler interconnects. Also significant amount of power consumption as reconfigurability at run time is not provided according to the input bit width. In order to remove the above problems, Urdhvatriyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized. Simulation of 32-bit Floating Point Multiplier and application of Vedic Mathematics is an important part of this dissertation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9783659543302
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Vedic Mathematics for Binary Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659543306
ISBN 13: 9783659543302
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Conventional 24x24 multiply architectures are implemented in floating point multipliers using array multipliers, redundant binary architectures( Pipeline Stages), modified booth encoding, a binary tree of 4:2 Compressors (Wallace tree) and modified carry save array in conjunction with Booth's algorithm. There are number of problems associated with tree and array multipliers. Tree multipliers have many problems like shortest logic delay but irregular layouts with complicated interconnects, irregular layouts not only demand more physical design effort, but also introduce significant interconnect delay. Similarly, array multipliers has also some drawbacks associated with them such as they have larger delay and offer regular layout with simpler interconnects. Also significant amount of power consumption as reconfigurability at run time is not provided according to the input bit width. In order to remove the above problems, Urdhvatriyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized. Simulation of 32-bit Floating Point Multiplier and application of Vedic Mathematics is an important part of this dissertation. Seller Inventory # 9783659543302
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Vedic Mathematics for Binary Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659543306
ISBN 13: 9783659543302
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Taschenbuch. Condition: Neu. Vedic Mathematics for Binary Applications | Abhijeet Kumar (u. a.) | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659543302 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 114912373