Download Transactions on Computational Science XXIV: Special Issue on by Marina L. Gavrilova, C.J. Kenneth Tan, Himanshu Thapliyal, PDF

By Marina L. Gavrilova, C.J. Kenneth Tan, Himanshu Thapliyal, Nagarajan Ranganathan

The LNCS magazine Transactions on Computational technological know-how displays fresh advancements within the box of Computational technological know-how, conceiving the sphere now not as a trifling ancillary technological know-how yet fairly as an cutting edge technique helping many different clinical disciplines. The magazine specializes in unique top quality study within the realm of computational technological know-how in parallel and disbursed environments, encompassing the facilitating theoretical foundations and the purposes of large-scale computations and big information processing. It addresses researchers and practitioners in components starting from aerospace to biochemistry, from electronics to geosciences, from arithmetic to software program structure, offering verifiable computational equipment, findings, and strategies and permitting business clients to use concepts of modern, large-scale, excessive functionality computational equipment. This, the twenty fourth factor of the Transactions on Computational technology magazine, visitor edited by way of Himanshu Thapliyal and Nagarajan Ranganathan, is dedicated to the subject of reversible computing. it's produced from 8 chosen papers on reversible power restoration designs, layout of reversible common sense gates and mathematics circuits in optical computing, reversible uncomplicated linear algebra subprograms, quantum circuit description language, and reversible circuit and good judgment synthesis.

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The input carry c0 is stored at memory location A−1 . Further, consider that memory location An is initialized with z ∈ {0, 1}. At the end of the computation, the memory location Bi will have si , while the location Ai keeps the value ai for 0 ≤ i ≤ n − 1. Further, at the end of the computation, the additional location An that initially stores the value z will have the value z ⊕ sn , and the memory location A−1 keeps the input carry c0 (here sn represents the output carry of the n bit reversible ripple carry adder).

ACM, San Jose, CA (2011) 10. : Irreversibility and heat generation in the computing process. IBM J. Res. Dev. 5, 183–191 (1961) 11. : Channel coding: The road to channel capacity. Proc. IEEE 95, 1150–1177 (2007) 12. : Resonant clock design for a power-efficient high-volume x86-64 microprocessor. In: 2012 IEEE International Solid-State Circuits Conference (ISSCC). p. 68–70. IEEE, San Francisco, CA (2012) 13. : Low-power digital systems based on adiabatic-switching principles. IEEE Trans. VLSI Syst.

Thus An will have the value of sn when z=0. Here, si is the sum bit produced and is defined as: si = ai ⊕ bi ⊕ ci cn if 0 ≤ i ≤ n − 1 if i = n where ci is the carry bit and is defined as: ci = c0 ai−1 bi−1 ⊕ bi−1 ci−1 ⊕ ci−1 ai−1 if i = 0 if 1 ≤ i ≤ n 44 S. Kotiyal et al. Fig. 5. Circuit generation of optical reversible n bit adder using proposed optical reversible gate I (ORG-I) and optical reversible gate II (ORG-II) The generalized methodology of designing the n bit optical reversible ripple carry adder with input carry is shown in Fig.

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