Pushing the limits for medical image reconstruction on recent standard multicore processors

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autorinnen und Autoren: Eitzinger J, Hager G, Hofmann H, Hornegger J, Wellein G
Zeitschrift: International Journal of High Performance Computing Applications
Verlag: SAGE Publications (UK and US)
Jahr der Veröffentlichung: 2013
Band: 27
Heftnummer: 2
Seitenbereich: 162-177
ISSN: 1094-3420


Abstract


Volume reconstruction by backprojection is the computational bottleneck in many interventional clinical computed tomography (CT) applications. Today vendors in this field replace special purpose hardware accelerators with standard hardware such as multicore chips and GPGPUs. Medical imaging algorithms are on the verge of employing high-performance computing (HPC) technology, and are therefore an interesting new candidate for optimization. This paper presents low-level optimizations for the backprojection algorithm, guided by a thorough performance analysis on four generations of Intel multicore processors (Harpertown, Westmere, Westmere EX, and Sandy Bridge). We choose the RabbitCT benchmark, a standardized testcase well supported in industry, to ensure transparent and comparable results. Our aim is to provide not only the fastest possible implementation but also compare with performance models and hardware counter data in order to fully understand the results. We separate the influence of algorithmic optimizations, parallelization, SIMD vectorization, and microarchitectural issues and pinpoint problems with current SIMD instruction set extensions on standard CPUs (SSE, AVX). The use of assembly language is mandatory for best performance. Finally, we compare our results to the best GPGPU implementations available for this open competition benchmark. © The Author(s) 2012.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Eitzinger, Jan Dr.
Regionales Rechenzentrum Erlangen (RRZE)
Hager, Georg Dr.
Regionales Rechenzentrum Erlangen (RRZE)
Hofmann, Hannes
Lehrstuhl für Informatik 5 (Mustererkennung)
Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Wellein, Gerhard Prof. Dr.
Professur für Höchstleistungsrechnen


Zitierweisen

APA:
Eitzinger, J., Hager, G., Hofmann, H., Hornegger, J., & Wellein, G. (2013). Pushing the limits for medical image reconstruction on recent standard multicore processors. International Journal of High Performance Computing Applications, 27(2), 162-177. https://dx.doi.org/10.1177/1094342012442424

MLA:
Eitzinger, Jan, et al. "Pushing the limits for medical image reconstruction on recent standard multicore processors." International Journal of High Performance Computing Applications 27.2 (2013): 162-177.

BibTeX: 

Zuletzt aktualisiert 2019-08-04 um 14:50