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Effects of mesh loop modes on performance of unstructured finite volume GPU simulations

Advances in Aerodynamics 2021年第1期3卷 357-379页

作者： Yue Weng Xi Zhang Xiaohu Guo Xianwei Zhang Yutong Lu Yang Liu School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouChina hartree centre STFC Daresbury LaboratoryWarringtonUK. China Aerodynamics Research and Development Center MianyangChina.

In unstructured finite volume method,loop on different mesh components such as cells,faces,nodes,etc is used widely for the traversal of *** loop results in direct or indirect data access that affects data locality *** loop on mesh,many threads accessing the same data lead to data *** data locality and data dependence play an important part in the performance of GPU *** optimizing a GPU-accelerated unstructured finite volume Computational Fluid Dynamics(CFD)program,the performance of hot spots under different loops on cells,faces,and nodes is evaluated on Nvidia Tesla V100 and *** tests under different mesh scales show that the effects of mesh loop modes are different on data locality and data ***,face loop makes the best data locality,so long as access to face data exists in *** loop brings the smallest overheads due to non-coalescing data access,when both cell and node data are used in computing without face *** loop owns the best performance in the condition that only indirect access of cell data exists in *** operations reduced the performance of kernels largely in K80,which is not obvious on *** the suitable mesh loop mode in all kernels,the overall performance of GPU simulations can be increased by 15%-20%.Finally,the program on a single GPU V100 can achieve maximum 21.7 and average 14.1 speed up compared with 28 MPI tasks on two Intel CPUs Xeon Gold 6132.

关键词： GPU CFD Finite volume Unstructured mesh Mesh loop modes Data locality Data dependence

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Bridging the Divide Between Iterative Optical Polishing and Automation

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Nanomanufacturing and Metrology 2023年第3期6卷 69-90页

作者： David Walker Juan I.Ahuir‑Torres Yasemin Akar Paul A.Bingham Xun Chen Michal Darowski Oliver Fähnle Philippe Gambron Frankie F.Jackson Hongyu Li Luke Mason Rakesh Mishra Abdullah Shahjalal Guoyu Yu University of Huddersfeld Laboratory for Ultra Precision Surfaces SciTech DaresburyTechSpace OneDaresbury WA44ABUK General Engineering Research Institute Liverpool John Moores UniversityLiverpool L33AFUK Department of Engineering and Technology University of HuddersfeldWest Yorkshire HD13DHUK Materials and Engineering Research Institute Shefeld Hallam UniversityShefeld S11WBUK Departement Technik OST-Eastern Switzerland University of Applied SciencesWerdenbergstrasse 49471 BuchsSwitzerland Research Center for Space Optical Engineering Harbin Institute of TechnologyHarbin 150001China stfc hartree centre Rutherford Appleton LaboratoryDidcot OX110DEUK Daresbury Laboratory STFC Hartree CentreDaresbury WA44ADUK Department of ICT University of AgderGrimstadNorway Zeeko Ltd CoalvilleLeicestershire LL673FWUK

Several recent business reports have described the global growth in demand for optical and photonic components,paralleled by technical reports on the growing shortage of skilled manufacturing staff to meet this *** is remarkable that producing ultraprecision surfaces remains so dependent on people,in contrast to other sectors of the economy,e.g.,car ***,training can play some role,but ultimately,only process automation can provide the *** paper explores why automation is a challenge and summarizes multidisciplinary work aiming to assemble the building blocks required to realize automation.

关键词： Optics Photonics Polishing Glass Ultraprecision Abrasives Asphere Free-form Deterministic

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Ab initio vibrational free energies including anharmonicity for multicomponent alloys

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npj Computational Materials 2019年第1期5卷 454-459页

作者： Blazej Grabowski Yuji Ikeda Prashanth Srinivasan Fritz Körmann Christoph Freysoldt Andrew Ian Duff Alexander Shapeev Jörg Neugebauer Institute of Materials Science University of StuttgartPfaffenwaldring 5570569 StuttgartGermany Department for Computational Materials Design Max-Planck-Institut für Eisenforschung GmbHMax-Planck-Str.140237 DüsseldorfGermany Department of Materials Science and Engineering Delft University of TechnologyMekelweg 22628 CD DelftNetherlands Scientific Computing Department STFC Daresbury LaboratoryHartree CentreWarringtonUK Skolkovo Institute of Science and Technology Skolkovo Innovation CenterNobel St.3Moscow 143026Russia

The unique and unanticipated properties of multiple principal component alloys have reinvigorated the field of alloy design and drawn strong interest across scientific *** vast compositional parameter space makes these alloys a unique area of exploration by means of computational ***,as of now a method to compute efficiently,yet with high accuracy the thermodynamic properties of such alloys has been *** of the underlying reasons is the lack of accurate and efficient approaches to compute vibrational free energies—including anharmonicity—for these chemically complex multicomponent *** this work,a density-functional-theory based approach to overcome this issue is developed based on a combination of thermodynamic integration and a machine-learning *** demonstrate the performance of the approach by computing the anharmonic free energy of the prototypical five-component VNbMoTaW refractory high entropy alloy.

关键词： alloys alloy thermodynamic

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