Massively parallelizing the CIMSS IASI radiative transfer model on GPUs

Jarno Mielikainen; Bormin Huang; Allen H.-L. Huang

doi:10.1117/12.895302

20 September 2011 Massively parallelizing the CIMSS IASI radiative transfer model on GPUs

Jarno Mielikainen, Bormin Huang, Allen H.-L. Huang

Proceedings Volume 8157, Satellite Data Compression, Communications, and Processing VII; 81570G (2011) https://doi.org/10.1117/12.895302
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

We have developep a Graphics Processing Unit (GPU)-based high-performance radiative transfer model (RTM) for the Infrared Atmospheric Sounding Interferometer (IASI). We propose two different types of GPU RTMs. The first one, processes one profile at a time. The second proposed GPU RTM processes more than one profile at a time in order to gain a significant speedup compared to the case of processing one profile at a time. Using single-profile processing, we reached 364x speedup for 1 GPU and 1455x speedup for all 4 GPUs. Both with respect to the original CPU-based single-threaded Fortran code. Similarly, using multi-profile processing, to compute 10 IASI radiance spectra simultaneously on a GPU, we reached 756x speedup for 1 GPU and 3024x speedup for all 4 GPUs. The significant 3024x speedup means that the proposed GPU-based high-performance forward model is able to compute one day's amount of 1,296,000 IASI spectra within 6 minutes.

Citation Download Citation

Jarno Mielikainen, Bormin Huang, and Allen H.-L. Huang "Massively parallelizing the CIMSS IASI radiative transfer model on GPUs", Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570G (20 September 2011); https://doi.org/10.1117/12.895302

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KEYWORDS

Radiative transfer

Transmittance

Atmospheric modeling

Carbon monoxide

Satellites

Infrared radiation

Ozone

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