Development of GPU-based RTTOV-7 IASI and AMSU-A forward models

Author

Mielikainen, Jarno ; Huang, Bormin ; Huang, Hung-Lung Allen ; Saunders, Roger

Author_Institution

Space Sci. & Eng. Center, Univ. of Wisconsin-Madison, Madison, WI, USA

fYear

2011

fDate

24-29 July 2011

Firstpage

2773

Lastpage

2776

Abstract

In this paper, we will presents our results in accelerating Radiative Transfer for TOVS (RTTOV) Radiative Transfer Model (RTM) scheme on many-core NVIDIA graphics processing units (GPUs). GPUs have evolved into a highly parallel, multi-threaded, many-core processors with tremendous computational speed and a high memory bandwidth. We will discuss how our GPU implementation is able to take advantage of the hardware´s massive parallelism, which results on a highly efficient GPU acceleration.

Keywords

coprocessors; geophysics computing; parallel processing; radiative transfer; remote sensing; GPU based AMSU-A forward model; GPU based RTTOV-7 IASI forward model; RTTOV acceleration; Radiative Transfer for TOVS; graphics processing units; highly parallel multithreaded many core processors; many core NVIDIA GPU; massive parallelism; radiative transfer model; Atmospheric modeling; Clouds; Computational modeling; Graphics processing unit; Instruction sets; Kernel; Optical interferometry; CUDA; Infrared Atmospheric Sounding Interferometer (IASI); Radiative Transfer Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049789

Filename

6049789