| Issue |
EPJ Web Conf.
Volume 153, 2017
ICRS-13 & RPSD-2016, 13th International Conference on Radiation Shielding & 19th Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society - 2016
|
|
|---|---|---|
| Article Number | 07042 | |
| Number of page(s) | 6 | |
| Section | 7. Poster Presentations | |
| DOI | https://doi.org/10.1051/epjconf/201715307042 | |
| Published online | 25 September 2017 | |
https://doi.org/10.1051/epjconf/201715307042
Implementing Shared Memory Parallelism in MCBEND
Amec Foster Wheeler, Kings Point House, Queen Mother Square, Poundbury, Dorchester, Dorset, DT1 3BW, United Kingdom
* e-mail: Adam.Bird@amecfw.com
** e-mail: David.Long@amecfw.com
*** e-mail: Geoff.Dobson@amecfw.com
Published online: 25 September 2017
MCBEND is a general purpose radiation transport Monte Carlo code from AMEC Foster Wheelers’s ANSWERS® Software Service. MCBEND is well established in the UK shielding community for radiation shielding and dosimetry assessments. The existing MCBEND parallel capability effectively involves running the same calculation on many processors. This works very well except when the memory requirements of a model restrict the number of instances of a calculation that will fit on a machine. To more effectively utilise parallel hardware OpenMP has been used to implement shared memory parallelism in MCBEND. This paper describes the reasoning behind the choice of OpenMP, notes some of the challenges of multi-threading an established code such as MCBEND and assesses the performance of the parallel method implemented in MCBEND.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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