The agile library for biomedical image reconstruction using GPU acceleration

Freiberger M, Knoll F, Bredies K, Scharfetter H, Stollberger R (2013)

Publication Type: Journal article

Publication year: 2013

Journal

Computing in Science & Engineering Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 15

Pages Range: 34-44

Article Number: 6178195

Journal Issue: 1

DOI: 10.1109/MCSE.2012.40

Abstract

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.

Authors with CRIS profile

Florian Knoll

Involved external institutions

Technische Universität Graz AT Austria (AT) Karl-Franzens-Universität Graz AT Austria (AT)

How to cite

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://dx.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