4-8 July 2016
Kramer Law building
Africa/Johannesburg timezone
<a href="http://events.saip.org.za/internalPage.py?pageId=10&confId=86">The Proceedings of SAIP2016</a> published on 24 December 2017

Parallel computing solutions to the Balitsky-Kovchegov equation

5 Jul 2016, 11:10
20m
2A (Kramer Law building)

2A

Kramer Law building

UCT Middle Campus Cape Town
Oral Presentation Track G - Theoretical and Computational Physics Theoretical and Computational Physics (1)

Speaker

Mrs Charlotte Hillebrand-Viljoen (UCT)

Please indicate whether<br>this abstract may be<br>published online<br>(Yes / No)

Yes

Main supervisor (name and email)<br>and his / her institution

Heribert Weigert, heribert.weigert@uct.ac.za, UCT

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD, N/A)?

MSc

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

Yes

Abstract content <br> &nbsp; (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>

The JIMWLK (pronounced "gym walk") equation describes the energy evolution of observables in the colour glass condensate (CGC) state of matter, which is particularly relevant to collider physics. Currently there are many implementations of JIMWLK evolution in the spirit of the factorised Balitsky-Kovchegov (BK) equation for the total cross section. These include a number of efforts to consistently implement evolution at next-to-leading-order. Aside from NLO, there is a growing interest in studying new, more exclusive, observables, such as single transverse spin asymmetries and transverse momentum distributions.

These require the inclusion of new degrees of freedom, which can be done systematically by extending the Gaussian truncation of the JIMWLK equation. This necessarily increases the computational demands, both in terms of floating point operations and of storage requirements. After introducing the theoretical context, we will address the first computational step and show new, parallelised methods in code that evolves the BK equation.

Parallelisation of BK evolution using NVidia Cuda with implementation on a commercially available graphical processing unit (GPU) results in performance improvements of roughly an order of magnitude over comparable serial programmes. This will make possible significantly more accurate BK calculations for a number of applications in the CGC context.

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

Yes

Primary author

Co-author

Prof. Heribert Weigert (University of Cape Town)

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