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A GPU-based Architecture for Real-Time DataAssessment at Synchrotron Experiments
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Suren Chilingaryan, Alessandro Mirone, Andreas Kopmann, Tomy dos Santos Rolo, Matthias Vogelgesang
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: Advances in digital detector technology leads
presently to rapidly increasing data rates in imaging experiments.
Using fast two-dimensional detectors in computed tomography,
the data acquisition can be much faster than the reconstruction
if no adequate measures are taken. We have optimized
the reconstruction software employed at the micro-tomography
beamlines of our synchrotron facilities to use the computational
power of modern graphic cards. The main paradigm of our
approach is the full utilization of all system resources. We use
a pipelined architecture, where the GPUs are used as compute
coprocessors to reconstruct slices, while the CPUs are preparing
the next ones. Special attention is devoted to minimize data
transfers between the host and GPU memory and to execute
memory transfers in parallel with the computations. We were
able to reduce the reconstruction time by a factor 80 and process
a typical data set of 20 GB in 15 seconds.
Chair/Author Details:
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Suren Chilingaryan - Karlsruhe Institute of Technology
Alessandro Mirone - ESRF
Andreas Kopmann - Karlsruhe Institute of Technology
Tomy dos Santos Rolo - Karlsruhe Institute of Technology
Matthias Vogelgesang - Karlsruhe Institute of Technology