Software Open Access
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">GPU, CUDA, textures, polymers, entanglement, reptation</subfield> </datafield> <controlfield tag="005">20200125192156.0</controlfield> <controlfield tag="001">1305227</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">26700459</subfield> <subfield code="z">md5:3d2f9094c9c41bade3e5e7a04b78327a</subfield> <subfield code="u">https://zenodo.org/record/1305227/files/ZenodoPackage.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-07-04</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">software</subfield> <subfield code="o">oai:zenodo.org:1305227</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="p">Advanced Theory and Simulations</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Uppsala University</subfield> <subfield code="0">(orcid)0000-0001-7904-5639</subfield> <subfield code="a">Airidas Korolkovas</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Pushing the frontiers of polymer simulation with texture memory</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Pushing the frontiers of polymer simulation with texture memory<br> ---------------------------------------------------------------</p> <p><br> Welcome to the Source Code for simulating entangled star polymers.<br> This custom software was used to generate data for the article &ldquo;Five dimensional entanglement in star polymer dynamics&quot;<br> published in Advanced Theory and Simulations (Wiley)<br> A preprint is available here: https://arxiv.org/abs/1805.08508</p> <p>The demo provided here simulates Brownian dynamics of NS=104 stars with 3 arms, of length N=356 beads per arm.<br> It requires a CUDA-enabled GPU card, which is managed from a Matlab environment using the launchstars.m script.<br> The .cu source files are included and have been pre-compiled for several star sizes using this command:<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; mexcuda mystar356.cu</p> <p>Now simply run:<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; launchstars.m</p> <p>The default settings create the initial polymer configuration in Matlab, which is then transferred to GPU and processed by CUDA for 1000 steps.<br> The resulting configuration is returned to Matlab, and selected data is stored for later analysis.<br> This cycle is repeated 200 times, and the real-space configuration is optionally plotted in 3D (see a snapshot in the Figures folder).<br> Once the demo is complete, you may verify the speed of the computation using this command (it runs an extra numIterations=1000 steps):</p> <p>&nbsp;&nbsp; &nbsp;tic; [R, randvector, ~] = fh(single(gpuArray(R)), randvector, b, vstrong, rstrong, cosbeta, numIterations, timeStep); toc;<br> &nbsp;&nbsp; &nbsp;Elapsed time is 0.398752 seconds.</p> <p>The above figure is for a box of 104*3*356=111072 beads, 1000 iterations, using a Titan XP card donated by the NVIDIA Corporation.<br> The whole demo lasts about 1 minute 30 seconds.<br> The branch point trajectory may be analysed by running the script autodiff.m provided in the Data Analysis Tools folder.<br> A typical result is shown in the MSD.pdf figure. Sub-reptative behaviour (negative slope) is apparent within one minute of simulation.</p> <p><br> Author:<br> Airidas Korolkovas, PhD<br> Institut Laue-Langevin<br> Uppsala University<br> korolkovas@ill.fr<br> airidas.korolkovas89@gmail.com</p> <p>July 04, 2018</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">url</subfield> <subfield code="i">isCitedBy</subfield> <subfield code="a">https://arxiv.org/abs/1805.08508</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isCitedBy</subfield> <subfield code="a">10.1002/adts.201800078</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.1305226</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.1305227</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">software</subfield> </datafield> </record>
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