Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)

Journal of Structural Biology

Volumn 176, Issue 2, 2011, Pages 250-253

  Palenstijn, W J ^a   Batenburg, K J ^a,b   Sijbers, J ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b CWI   (Netherlands)

Author keywords

Electron tomography; GPU; Reconstruction

Indexed keywords

ALGORITHM; ARTICLE; COST EFFECTIVENESS ANALYSIS; ELECTRON TOMOGRAPHY; GRAPHICS PROCESSING UNIT; IMAGE ANALYSIS; MEMORY; PRIORITY JOURNAL; WORKLOAD;

ALGORITHMS; AUTOMATIC DATA PROCESSING; COMPUTER STORAGE DEVICES; ELECTRON MICROSCOPE TOMOGRAPHY; HEMOCYANIN; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 84860389462     PISSN: 10478477     EISSN: 10958657     Source Type: Journal    
DOI: 10.1016/j.jsb.2011.07.017     Document Type: Article

References (4)

1. Xu W., Xu F., Jones M., Keszthelyi B., Sedat J., et al. High-performance iterative electron tomography reconstruction with long-object compensation using graphics processing units (GPUs). Journal of Structural Biology 2010, 171(1):142-153.
2. Castaño-Diez D., Mueller H., Frangakis A.S. Implementation and performance evaluation of reconstruction algorithms on graphics processors. Journal of Structural Biology 2007, 157(1):288-295.
3. NVIDIA CUDA C Programming Guide, Version 3.2 (November 2010).
4. Xu, F., Mueller, K., 2006. A comparative study of popular interpolation and integration methods for use in computed tomography, In: Proceedings of the IEEE 2006 International Symposium on Biomedical Imaging (ISBI 2006), pp. 1252-1255.