GPU-Accelerated Full-Field Modelling of Highly Dispersive Ultrafast Optical Parametric Oscillators

Sebastian C. Robarts, Derryck T. Reid, Richard A. McCracken

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ultrafast synchronously-pumped optical parametric oscillators (OPOs) are broadband systems displaying complex dynamics and spectral structures which cannot be approximated using the classical, coupled wave equations. These systems are more readily described by a χ2 nonlinear envelope equation (NEE) [1], an analytical technique for studying ultra-broadband χ2 interactions. The NEE has shown good agreement with OPOs containing short (≤1 mm) nonlinear crystals operating in a low-dispersion regime [2], [3]; however, OPO cavities containing long crystals [4], significant material dispersion [5], or those pumped with highly chirped pulses, result in fields ex-hibiting much larger time-bandwidth products. Modelling such fields is computationally expensive due to the data required to maintain oversampling in large temporal/spectral windows (space complexity), compounded by the many round-trips needed for complex cavities to achieve steady-state (time complexity). Although evolution of the full field is inherently sequential, independent calculation of all sample points at each time step allows paral-lel processing to be leveraged for large data sets. Here we demonstrate GPU acceleration of full-field split-step Fourier methods (SSFM) through extreme parallelism, with an adaptive step-size algorithm, leading to more than three orders of magnitude improvement in computation time for long-crystal OPOs.
Original languageEnglish
Title of host publication2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
PublisherIEEE
ISBN (Electronic)9798350345995
DOIs
Publication statusPublished - 4 Sept 2023

Fingerprint

Dive into the research topics of 'GPU-Accelerated Full-Field Modelling of Highly Dispersive Ultrafast Optical Parametric Oscillators'. Together they form a unique fingerprint.

Cite this