Freiberger M, Knoll F, Bredies K, Scharfetter H, Stollberger R (2013)
Publication Type: Journal article
Publication year: 2013
Book Volume: 15
Pages Range: 34-44
Article Number: 6178195
Journal Issue: 1
DOI: 10.1109/MCSE.2012.40
A cheap way to speed up image-reconstruction software is to use modern graphics hardware that can execute algorithms in a massively parallel manner. Here, the authors discuss Agile, an open source library designed for image reconstruction in biomedical sciences. Its modular, object-oriented, and templated design eases the integration of the library into user code. © 1999-2011 IEEE.
APA:
Freiberger, M., Knoll, F., Bredies, K., Scharfetter, H., & Stollberger, R. (2013). The agile library for biomedical image reconstruction using GPU acceleration. Computing in Science & Engineering, 15(1), 34-44. https://doi.org/10.1109/MCSE.2012.40
MLA:
Freiberger, Manuel, et al. "The agile library for biomedical image reconstruction using GPU acceleration." Computing in Science & Engineering 15.1 (2013): 34-44.
BibTeX: Download