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  • Language: French

    Published by Editions Notre Savoir, 2026

    6209551769 / 9786209551765

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  • Language: Portuguese

    Published by Edições Nosso Conhecimento, 2026

    6209559441 / 9786209559440

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  • Language: Polish

    Published by Wydawnictwo Nasza Wiedza, 2026

    6209556884 / 9786209556883

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  • Language: Italian

    Published by Edizioni Sapienza, 2026

    6209554326 / 9786209554322

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  • Language: German

    Published by Verlag Unser Wissen, 2026

    6209546641 / 9786209546648

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  • Language: German

    Published by Verlag Unser Wissen, 2026

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  • Language: French

    Published by Editions Notre Savoir, 2026

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  • Language: French

    Published by Editions Notre Savoir, 2026

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    3659543306 / 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2018

    3659543306 / 9783659543302

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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.…

  • Language: Polish

    Published by Wydawnictwo Nasza Wiedza, 2026

    6209556884 / 9786209556883

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  • Language: Italian

    Published by Edizioni Sapienza, 2026

    6209554326 / 9786209554322

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  • Language: German

    Published by Verlag Unser Wissen, 2026

    6209546641 / 9786209546648

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  • Language: Polish

    Published by Wydawnictwo Nasza Wiedza, 2026

    6209556884 / 9786209556883

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  • Language: Italian

    Published by Edizioni Sapienza, 2026

    6209554326 / 9786209554322

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  • Language: German

    Published by Verlag Unser Wissen, 2026

    6209546641 / 9786209546648

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  • Language: Spanish

    Published by Ediciones Nuestro Conocimiento, 2026

    6209549209 / 9786209549205

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Las arquitecturas de multiplicación convencionales 24x24 se implementan en multiplicadores de punto flotante utilizando multiplicadores de matriz, arquitecturas binarias redundantes (etapas de canalización), codificación Booth modificada, un árbol binario de compresores 4:2 (árbol de Wallace) y una matriz de ahorro de acarreo modificada junto con el algoritmo de Booth. Existen varios problemas asociados con los multiplicadores de árbol y de matriz. Los multiplicadores de árbol tienen muchos problemas, como el menor retraso lógico, pero diseños irregulares con interconexiones complicadas. Los diseños irregulares no solo exigen un mayor esfuerzo de diseño físico, sino que también introducen un retraso significativo en las interconexiones. Del mismo modo, los multiplicadores de matriz también tienen algunos inconvenientes asociados, como un mayor retraso y un diseño regular con interconexiones más simples. Además, consumen una cantidad significativa de energía, ya que no se proporciona reconfigurabilidad en tiempo de ejecución según el ancho de bits de entrada. Para eliminar los problemas anteriores, se utiliza el algoritmo Urdhvatriyakbhyam de la antigua matemática védica india. La simulación del multiplicador de punto flotante de 32 bits y la aplicación de la matemática védica son una parte importante de esta tesis. …

  • Language: French

    Published by Editions Notre Savoir, 2026

    6209551769 / 9786209551765

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Les architectures de multiplication 24x24 conventionnelles sont mises en oeuvre dans des multiplicateurs à virgule flottante à l'aide de multiplicateurs matriciels, d'architectures binaires redondantes (étages de pipeline), d'un codage Booth modifié, d'un arbre binaire de compresseurs 4:2 (arbre de Wallace) et d'un tableau de sauvegarde de report modifié en conjonction avec l'algorithme de Booth. Les multiplicateurs matriciels et arborescents posent un certain nombre de problèmes. Les multiplicateurs en arbre présentent de nombreux problèmes, tels qu'un délai logique minimal mais des configurations irrégulières avec des interconnexions complexes. Les configurations irrégulières exigent non seulement plus d'efforts de conception physique, mais introduisent également un délai d'interconnexion important. De même, les multiplicateurs matriciels présentent également certains inconvénients, tels qu'un délai plus important et une configuration régulière avec des interconnexions plus simples. Ils consomment également beaucoup d'énergie, car la reconfigurabilité à l'exécution n'est pas fournie en fonction de la largeur de bit d'entrée. Afin de résoudre les problèmes ci-dessus, l'algorithme Urdhvatriyakbhyam de l'ancienne mathématique védique indienne est utilisé. La simulation d'un multiplicateur à virgule flottante 32 bits et l'application de la mathématique védique constituent une partie importante de cette thèse.…

  • Language: German

    Published by Verlag Unser Wissen, 2026

    6209546641 / 9786209546648

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Herkömmliche 24x24-Multiplikationsarchitekturen werden in Fließkomma-Multiplikatoren unter Verwendung von Array-Multiplikatoren, redundanten Binärarchitekturen (Pipeline-Stufen), modifizierter Booth-Kodierung, einem Binärbaum aus 4:2-Kompressoren (Wallace-Baum) und einem modifizierten Carry-Save-Array in Verbindung mit dem Booth-Algorithmus implementiert. Mit Baum- und Array-Multiplikatoren sind eine Reihe von Problemen verbunden. Baummultiplikatoren haben viele Probleme, wie z. B. kürzeste Logikverzögerung, aber unregelmäßige Layouts mit komplizierten Verbindungen. Unregelmäßige Layouts erfordern nicht nur einen höheren physikalischen Designaufwand, sondern führen auch zu erheblichen Verbindungsverzögerungen. In ähnlicher Weise haben auch Array-Multiplikatoren einige Nachteile, wie z. B. größere Verzögerungen und ein regelmäßiges Layout mit einfacheren Verbindungen. Außerdem ist der Stromverbrauch erheblich, da die Rekonfigurierbarkeit zur Laufzeit nicht entsprechend der Eingangsbitbreite bereitgestellt wird. Um die oben genannten Probleme zu beseitigen, wird der Urdhvatriyakbhyam-Algorithmus der alten indischen vedischen Mathematik verwendet. Die Simulation eines 32-Bit-Gleitkomma-Multiplizierers und die Anwendung der vedischen Mathematik sind ein wichtiger Teil dieser Dissertation.…

  • Language: Italian

    Published by Edizioni Sapienza, 2026

    6209554326 / 9786209554322

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Le architetture di moltiplicazione convenzionali 24x24 sono implementate in moltiplicatori in virgola mobile utilizzando moltiplicatori array, architetture binarie ridondanti (stadi pipeline), codifica Booth modificata, un albero binario di compressori 4:2 (albero di Wallace) e un array carry save modificato in combinazione con l'algoritmo di Booth. Esistono numerosi problemi associati ai moltiplicatori ad albero e array. I moltiplicatori ad albero presentano molti problemi, come il ritardo logico più breve ma layout irregolari con interconnessioni complicate; i layout irregolari non solo richiedono uno sforzo di progettazione fisica maggiore, ma introducono anche un ritardo di interconnessione significativo. Allo stesso modo, anche i moltiplicatori ad array presentano alcuni svantaggi, come un ritardo maggiore e un layout regolare con interconnessioni più semplici. Inoltre, il consumo energetico è significativo poiché la riconfigurabilità in fase di esecuzione non è fornita in base alla larghezza di bit in ingresso. Al fine di eliminare i problemi sopra citati, viene utilizzato l'algoritmo Urdhvatriyakbhyam dell'antica matematica vedica indiana. La simulazione del moltiplicatore a virgola mobile a 32 bit e l'applicazione della matematica vedica sono una parte importante di questa tesi.…

  • Language: Polish

    Published by Wydawnictwo Nasza Wiedza, 2026

    6209556884 / 9786209556883

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Konwencjonalne architektury mno¿enia 24x24 s¿ implementowane w mno¿nikach zmiennoprzecinkowych przy u¿yciu mno¿ników tablicowych, redundantnych architektur binarnych (etapy potokowe), zmodyfikowanego kodowania Bootha, drzewa binarnego kompresorów 4:2 (drzewo Wallace'a) oraz zmodyfikowanej tablicy przeniesienia w po¿¿czeniu z algorytmem Bootha. Istnieje szereg problemów zwi¿zanych z mno¿nikami drzewiastymi i tablicowymi. Mno¿niki drzewiaste maj¿ wiele problemów, takich jak najkrótsze opó¿nienie logiczne, ale nieregularne uk¿ady z skomplikowanymi po¿¿czeniami, nieregularne uk¿ady nie tylko wymagaj¿ wi¿kszego wysi¿ku fizycznego przy projektowaniu, ale tak¿e powoduj¿ znaczne opó¿nienia w po¿¿czeniach. Podobnie, mno¿niki tablicowe maj¿ równie¿ pewne wady, takie jak wi¿ksze opó¿nienia i regularny uk¿ad z prostszymi po¿¿czeniami. Ponadto zu¿ywaj¿ one znaczn¿ ilo¿¿ energii, poniewä nie zapewniaj¿ rekonfigurowalno¿ci w czasie pracy zgodnie z szeroko¿ci¿ bitow¿ wej¿cia. Aby wyeliminowä powy¿sze problemy, wykorzystuje si¿ algorytm Urdhvatriyakbhyam ze staro¿ytnej indyjskiej matematyki wedyjskiej. Symulacja 32-bitowego mno¿nika zmiennoprzecinkowego i zastosowanie matematyki wedyjskiej stanowi wän¿ cz¿¿¿ niniejszej rozprawy.…

  • Language: Portuguese

    Published by Edições Nosso Conhecimento, 2026

    6209559441 / 9786209559440

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As arquiteturas convencionais de multiplicação 24x24 são implementadas em multiplicadores de ponto flutuante usando multiplicadores de matriz, arquiteturas binárias redundantes (Pipeline Stages), codificação Booth modificada, uma árvore binária de compressores 4:2 (árvore Wallace) e matriz de carry save modificada em conjunto com o algoritmo de Booth. Existem vários problemas associados aos multiplicadores de árvore e matriz. Os multiplicadores em árvore têm muitos problemas, como o menor atraso lógico, mas layouts irregulares com interconexões complicadas. Layouts irregulares não só exigem mais esforço de design físico, mas também introduzem um atraso significativo na interconexão. Da mesma forma, os multiplicadores em matriz também têm algumas desvantagens associadas a eles, como maior atraso e layout regular com interconexões mais simples. Além disso, há um consumo significativo de energia, uma vez que a reconfigurabilidade em tempo de execução não é fornecida de acordo com a largura de bits de entrada. Para eliminar os problemas acima, é utilizado o algoritmo Urdhvatriyakbhyam da antiga matemática védica indiana. A simulação do multiplicador de ponto flutuante de 32 bits e a aplicação da matemática védica são uma parte importante desta dissertação.…

  • Language: German

    Published by Verlag Unser Wissen, 2026

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  • Language: German

    Published by Verlag Unser Wissen, 2026

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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