Acceleration of arithmetic operation performance by the use of spectral compression

Vladimir Antonovich Pilipovich; Alexander K. Esman; Valery S. Posedko; V. K. Kuleshov; Igor A. Goncharenko

doi:10.1117/12.464486

1 April 2002 Acceleration of arithmetic operation performance by the use of spectral compression

Vladimir Antonovich Pilipovich, Alexander K. Esman, Valery S. Posedko, V. K. Kuleshov, Igor A. Goncharenko

Proceedings Volume 4750, ICONO 2001: Quantum and Atomic Optics, High-Precision Measurements in Optics, and Optical Information Processing, Transmission, and Storage; (2002) https://doi.org/10.1117/12.464486
Event: XVII International Conference on Coherent and Nonlinear Optics (ICONO 2001), 2001, Minsk, Belarus

Abstract

The architecture of parallel optoelectronics adder, in which the spectral compression corresponding to inputs permits to accelerate algorithmically optical data arrays processing, has been developed. This approach excludes galvanic connections corresponding inputs/outputs and make it possible to perform parallel computation in a wide frequency range.

Citation Download Citation

Vladimir Antonovich Pilipovich, Alexander K. Esman, Valery S. Posedko, V. K. Kuleshov, and Igor A. Goncharenko "Acceleration of arithmetic operation performance by the use of spectral compression", Proc. SPIE 4750, ICONO 2001: Quantum and Atomic Optics, High-Precision Measurements in Optics, and Optical Information Processing, Transmission, and Storage, (1 April 2002); https://doi.org/10.1117/12.464486

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