Title :
GPU computing of Quantum Dot Infrared Photodetectors
Author :
Fedoseyev, A. ; Venugopalan, V.
Author_Institution :
CFD Res. Corp., Huntsville, AL, USA
Abstract :
In this paper we present physics based mathematical models and numerical methods for fast GPU based simulations of advanced Quantum Dot Infrared Photodetectors based on new Quantum Dot technology (QDIP-NT). Details of successful experience of CUDA-implementation for GPU-based parallelization of simulations of 3D QDIP-NT photodetector model are described, and results are analyzed and discussed.
Keywords :
computer graphic equipment; coprocessors; infrared detectors; nanophotonics; numerical analysis; parallel processing; photodetectors; physics computing; quantum dots; 3D QDIP-NT photodetector model; CUDA implementation; GPU computing; GPU-based parallelization; mathematical models; numerical methods; quantum dot infrared photodetectors; quantum dot technology; Electric fields; Electric potential; Graphics processing unit; Kinetic theory; Phonons; Photodetectors; Quantum dots; CUDA; GPU; Infrared Photodetector; New Technology; Parallelization; Quantum Dot; TCAD;
Conference_Titel :
Numerical Simulation of Optoelectronic Devices (NUSOD), 2011 11th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-61284-876-1
Electronic_ISBN :
2158-3234
DOI :
10.1109/NUSOD.2011.6041113
