Disclaimer: This material is being kept online for historical purposes. Though accurate at the time of publication, it is no longer being updated. The page may contain broken links or outdated information, and parts may not function in current web browsers. Visit espo.nasa.gov for information about our current projects.

 

Porting Existing Radiation Code for GPU Acceleration

The core information for this publication's citation.: 
Coleman, D. M., and D. Feldman (2013), Porting Existing Radiation Code for GPU Acceleration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP, 1-6, doi:10.1109/JSTARS.2013.2247379.
Abstract: 

Graphics processing units (GPUs) have proven very robust architectures for performing intensive scientific calculations, resulting in speedups as high as several hundred times. In this paper, the GPU acceleration of a radiation code for use in creating simulated satellite observations of predicted climate change scenarios is explored, particularly the prospect of porting an already existing and widely used radiation transport code to a GPU version that fully exploits the parallel nature of GPUs. The porting process is attempted with a simple radiation code, revealing that this process centers on creating many copies of variables and inlining function/subroutine calls. A resulting speedup of about 25x is reached. This is less than the speedup achieved from a radiation code built for CUDA from scratch, but it was achieved with an already existing radiation code using the PGI Accelerator to automatically generate CUDA kernels, and this demonstrates a possible strategy to speed up other existing models like MODTRAN and LBLRTM.

PDF of Publication: 
Download from publisher's website.
Mission: 
CLARREO