@article {155181,
	title = {Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station},
	journal = {J Real-Time Image Proc},
	volume = {5},
	year = {2009},
	pages = {179-193},
	abstract = {
	We implement image correlation, a fundamental component of many real-time imaging and tracking systems, on a graphics processing unit (GPU) using NVI-DIA{\textquoteright}s CUDA platform. We use our code to analyze images of liquid-gas phase separation in a model colloid-polymer system, photographed in the absence of gravity aboard the International Space Station (ISS). Our GPU code is 4,000 times faster than simple MATLAB code performing the same calculation on a central processing unit (CPU), 130 times faster than simple C code, and 30 times faster than optimized C++ code using single-instruction, multiple-data (SIMD) extensions. The speed increases from these parallel algorithms enable us to analyze images downlinked from the ISS in a rapid fashion and send feedback to astronauts on orbit while the experiments are still being run.

},
	url = {https://link.springer.com/article/10.1007/s11554-009-0133-1},
	author = {Lu, Peter J. and Oki, Hidekazu and Frey, Catherine A. and Chamitoff, Gregory E. and Chiao, Leroy and Fincke, Edward M. and Foale, C. Michael and Magnus, Sandra H. and McArthur, William S., Jr. and Tani, Daniel M. and Whitson, Peggy A. and Williams, Jeffrey N. and Meyer, William V. and Sicker, Ronald J. and Au, Brion J. and Christiansen, Mark and Schofield, Andrew B. and Weitz, David A}
}
