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High performance stream computing for particle beam transport simulations

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High performance stream computing for particle beam transport simulations. / Appleby, R.; Bailey, D.; Higham, J. et al.
In: Journal of Physics: Conference Series, Vol. 119, 042001, 2008.

Research output: Contribution to Journal/MagazineConference articlepeer-review

Harvard

Appleby, R, Bailey, D, Higham, J & Salt, M 2008, 'High performance stream computing for particle beam transport simulations', Journal of Physics: Conference Series, vol. 119, 042001. https://doi.org/10.1088/1742-6596/119/4/042001

APA

Appleby, R., Bailey, D., Higham, J., & Salt, M. (2008). High performance stream computing for particle beam transport simulations. Journal of Physics: Conference Series, 119, Article 042001. https://doi.org/10.1088/1742-6596/119/4/042001

Vancouver

Appleby R, Bailey D, Higham J, Salt M. High performance stream computing for particle beam transport simulations. Journal of Physics: Conference Series. 2008;119:042001. doi: 10.1088/1742-6596/119/4/042001

Author

Appleby, R. ; Bailey, D. ; Higham, J. et al. / High performance stream computing for particle beam transport simulations. In: Journal of Physics: Conference Series. 2008 ; Vol. 119.

Bibtex

@article{3d1389b0d0b148aeb191df433bad3fdf,
title = "High performance stream computing for particle beam transport simulations",
abstract = "Understanding modern particle accelerators requires simulating charged particle transport through the machine elements. These simulations can be very time consuming due to the large number of particles and the need to consider many turns of a circular machine. Stream computing offers an attractive way to dramatically improve the performance of such simulations by calculating the simultaneous transport of many particles using dedicated hardware. Modern Graphics Processing Units (GPUs) are powerful and affordable stream computing devices. The results of simulations of particle transport through the booster-to-storage-ring transfer line of the DIAMOND synchrotron light source using an NVidia GeForce 7900 GPU are compared to the standard transport code MAD. It is found that particle transport calculations are suitable for stream processing and large performance increases are possible. The accuracy and potential speed gains are compared and the prospects for future work in the area are discussed.",
author = "R. Appleby and D. Bailey and J. Higham and M. Salt",
year = "2008",
doi = "10.1088/1742-6596/119/4/042001",
language = "English",
volume = "119",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",

}

RIS

TY - JOUR

T1 - High performance stream computing for particle beam transport simulations

AU - Appleby, R.

AU - Bailey, D.

AU - Higham, J.

AU - Salt, M.

PY - 2008

Y1 - 2008

N2 - Understanding modern particle accelerators requires simulating charged particle transport through the machine elements. These simulations can be very time consuming due to the large number of particles and the need to consider many turns of a circular machine. Stream computing offers an attractive way to dramatically improve the performance of such simulations by calculating the simultaneous transport of many particles using dedicated hardware. Modern Graphics Processing Units (GPUs) are powerful and affordable stream computing devices. The results of simulations of particle transport through the booster-to-storage-ring transfer line of the DIAMOND synchrotron light source using an NVidia GeForce 7900 GPU are compared to the standard transport code MAD. It is found that particle transport calculations are suitable for stream processing and large performance increases are possible. The accuracy and potential speed gains are compared and the prospects for future work in the area are discussed.

AB - Understanding modern particle accelerators requires simulating charged particle transport through the machine elements. These simulations can be very time consuming due to the large number of particles and the need to consider many turns of a circular machine. Stream computing offers an attractive way to dramatically improve the performance of such simulations by calculating the simultaneous transport of many particles using dedicated hardware. Modern Graphics Processing Units (GPUs) are powerful and affordable stream computing devices. The results of simulations of particle transport through the booster-to-storage-ring transfer line of the DIAMOND synchrotron light source using an NVidia GeForce 7900 GPU are compared to the standard transport code MAD. It is found that particle transport calculations are suitable for stream processing and large performance increases are possible. The accuracy and potential speed gains are compared and the prospects for future work in the area are discussed.

U2 - 10.1088/1742-6596/119/4/042001

DO - 10.1088/1742-6596/119/4/042001

M3 - Conference article

VL - 119

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

M1 - 042001

ER -