Minzhao Liu - B1
B1. GPU in Zernike Polynomical Adaptive Optics Atmospheric Aberration Correction and Epidemiology
*Minzhao Liu, Narendra K. Jaggi - Illinois Wesleyan University - 5 - Student Research
Graphic processing unit (GPU) acceleration is now widely available to researchers and students, enabling unprecedented speed of progress in science and technologies. Two fields in which GPU acceleration is implemented in Illinois Wesleyan is Optics and Epidemiology. Real time atmospheric aberration correction for free space laser communication is challenging due to the high rate of aberration change. Deep neural networks were proposed to speed up aberration correction using Zernike polynomials, commonly used to represent optical aberration. We attempt a physical implementation of this scheme using a spatial light modulator, with GPU accelerating the generation of aberration correction profile from the polynomial coefficients. On the other end, epidemic simulations using networks mimicking real-life social networks are studied to understand the effects of network degree distribution and clustering on the spread of diseases. We propose a GPU accelerated program to enable parallel execution of hundreds of simulations with different epidemiological parameters to help researchers quickly characterize response surfaces of these parameters.
Minzhao Liu - B1
B1. GPU in Zernike Polynomical Adaptive Optics Atmospheric Aberration Correction and Epidemiology
*Minzhao Liu, Narendra K. Jaggi - Illinois Wesleyan University - 5 - Student Research
Graphic processing unit (GPU) acceleration is now widely available to researchers and students, enabling unprecedented speed of progress in science and technologies. Two fields in which GPU acceleration is implemented in Illinois Wesleyan is Optics and Epidemiology. Real time atmospheric aberration correction for free space laser communication is challenging due to the high rate of aberration change. Deep neural networks were proposed to speed up aberration correction using Zernike polynomials, commonly used to represent optical aberration. We attempt a physical implementation of this scheme using a spatial light modulator, with GPU accelerating the generation of aberration correction profile from the polynomial coefficients. On the other end, epidemic simulations using networks mimicking real-life social networks are studied to understand the effects of network degree distribution and clustering on the spread of diseases. We propose a GPU accelerated program to enable parallel execution of hundreds of simulations with different epidemiological parameters to help researchers quickly characterize response surfaces of these parameters.