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Arithmetic Optimization Techniques for Hardware and Software Design
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  • Cited by 7
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Oudjida, A. K. Berrandjia, M. L. and Chaillet, N. 2013. A new low-power recoding algorithm for multiplierless single/multiple constant multiplication. p. 1.

    Bachle, Thomas Graichen, Knut Buchholz, Michael and Dietmayer, Klaus 2014. Vehicle dynamics control in challenging driving situations using nonlinear model predictive control allocation. p. 346.

    Stallmann, Christoph F. and Engelbrecht, Andries P. 2014. A comparison of interpolation algorithms for gramophone record sound reconstruction. p. 14.

    Oudjida, A. K. Liacha, A. Berrandjia, M. L. and Chaillet, N. 2014. A new binary arithmetic for finite-word-length linear controllers: MEMS applications. p. 174.

    Oppermann, Julian Koch, Andreas Yu, Ting and Sinnen, Oliver 2015. Domain-specific optimisation for the high-level synthesis of CellML-based simulation accelerators. p. 1.

    Albab, Kinan Dak Issa, Rawane Lapets, Andrei Bestavros, Azer and Volgushev, Nikolaj 2017. Scalable Secure Multi-party Network Vulnerability Analysis via Symbolic Optimization. p. 211.

    Cruz Jiménez, Miriam Guadalupe Meyer Baese, Uwe and Jovanovic Dolecek, Gordana 2017. Theoretical lower bounds for parallel pipelined shift-and-add constant multiplications with n-input arithmetic operators. EURASIP Journal on Advances in Signal Processing, Vol. 2017, Issue. 1,

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    Arithmetic Optimization Techniques for Hardware and Software Design
    • Online ISBN: 9780511712180
    • Book DOI: https://doi.org/10.1017/CBO9780511712180
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Book description

Obtain better system performance, lower energy consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques for hardware and software design. High-level compiler optimizations and high-speed architectures for implementing FIR filters are covered, which can improve performance in communications, signal processing, computer graphics, and cryptography. Clearly explained algorithms and illustrative examples throughout make it easy to understand the techniques and write software for their implementation. Background information on the synthesis of arithmetic expressions and computer arithmetic is also included, making the book ideal for newcomers to the subject. This is an invaluable resource for researchers, professionals, and graduate students working in system level design and automation, compilers, and VLSI CAD.

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