Performance analysis with a memory-bound Monte Carlo simulation on Xeon Phi

Schweitzer, Pierre; Mazel, Claude; Hill, David R.C.; Cârloganu, C.

doi:10.1109/hpcsim.2015.7237074

Cited by 1 publication

(1 citation statement)

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“…Other authors [14] experienced unsatisfactory performances when using Intel Xeon Phi accelerators for a medical imaging benchmark using a simple data structure and massive parallelism. In a recent study [15], we investigated performances of 7120P Intel Xeon Phi by distributing memory-bound Geant4 (version 9) simulation concerning the tracking of muons through a volcano in order to produce tomographic imaging. A maximum speedup of 2.56x was obtained when compared to calculations performed on a Sandy Bridge processor at 3.1 GHz.…”

Section: Scientific Programmingmentioning

confidence: 99%

Performance Evaluation of Multithreaded Geant4 Simulations Using an Intel Xeon Phi Cluster

Schweitzer

Cipière

Dufaure

et al. 2015

Scientific Programming

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The objective of this study is to evaluate the performances of Intel Xeon Phi hardware accelerators for Geant4 simulations, especially for multithreaded applications. We present the complete methodology to guide users for the compilation of their Geant4 applications on Phi processors. Then, we propose series of benchmarks to compare the performance of Xeon CPUs and Phi processors for a Geant4 example dedicated to the simulation of electron dose point kernels, the TestEm12 example. First, we compare a distributed execution of a sequential version of the Geant4 example on both architectures before evaluating the multithreaded version of the Geant4 example. If Phi processors demonstrated their ability to accelerate computing time (till a factor 3.83) when distributing sequential Geant4 simulations, we do not reach the same level of speedup when considering the multithreaded version of the Geant4 example.

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Section: Scientific Programmingmentioning

confidence: 99%