Date of Award
Master of Science
Department of Electrical and Computer Engineering
Douglas D. Hodson, PhD.
The Air Force Institute of Techology (AFIT) is developing a simulation framework to model a wide variety of existing and proposed Quantum Key Distribution (QKD) systems. This research investigates using graphical processing unit (GPU) technology to more efficiently integrate optical pulses modeled within this framework. The goal is to reduce the simulation execution time. A GPU algorithm is presented for performing numerical integration of optical pulses described by Gaussian curves to improve pulse energy and power calculations. In order to measure the performance of the algorithm a optimal timing method is needed. A timer using Comute Unified Device Architecture (CUDA) events is selected over a Windows system application programming interface (API) timer. The problem sizes studied produce speedups greater than 60x on the NVIDIA Tesla C2075 compared to the Intel i7-3610QM CPU.
DTIC Accession Number
Garrett, Virginia R., "Numerical Integration with Graphical Processing Unit for QKD Simulation" (2014). Theses and Dissertations. 603.