Scaling to 150K cores: recent algorithm and performance engineering developments enabling XGC1 to run at scale

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Particle-in-cell (PIC) methods have proven to be eft#11;ective in discretizing the Vlasov-Maxwell system of equations describing the core of toroidal burning plasmas for many decades. Recent physical understanding of the importance of edge physics for stability and transport in tokamaks has lead to development of the fi#12;rst fully toroidal edge PIC code - XGC1. The edge region poses special problems in meshing for PIC methods due to the lack of closed flux surfaces, which makes fi#12;eld-line following meshes and coordinate systems problematic. We present a solution to this problem with a semi-#12;field line following mesh method in a cylindrical coordinate ... continued below

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Adams, Mark F.; Ku, Seung-Hoe; Worley, Patrick; D'Azevedo, Ed; Cummings, Julian C. & Chang, C.S. October 1, 2009.

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Particle-in-cell (PIC) methods have proven to be eft#11;ective in discretizing the Vlasov-Maxwell system of equations describing the core of toroidal burning plasmas for many decades. Recent physical understanding of the importance of edge physics for stability and transport in tokamaks has lead to development of the fi#12;rst fully toroidal edge PIC code - XGC1. The edge region poses special problems in meshing for PIC methods due to the lack of closed flux surfaces, which makes fi#12;eld-line following meshes and coordinate systems problematic. We present a solution to this problem with a semi-#12;field line following mesh method in a cylindrical coordinate system. Additionally, modern supercomputers require highly concurrent algorithms and implementations, with all levels of the memory hierarchy being effe#14;ciently utilized to realize optimal code performance. This paper presents a mesh and particle partitioning method, suitable to our meshing strategy, for use on highly concurrent cache-based computing platforms.

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  • Journal Name: J. of Phys.: Conference Series; Journal Volume: 180; Conference: Scientific Discovery through Advanced Computing Program (SciDAC), June 14-18 2009 at the Sheraton San Diego Hotel & Marina in San Diego, California.

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  • Report No.: DOE/ER/54962
  • Grant Number: FC02-08ER54962
  • Office of Scientific & Technical Information Report Number: 1053038
  • Archival Resource Key: ark:/67531/metadc834778

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  • October 1, 2009

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  • May 19, 2016, 9:45 a.m.

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  • Dec. 9, 2016, 9:41 p.m.

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Adams, Mark F.; Ku, Seung-Hoe; Worley, Patrick; D'Azevedo, Ed; Cummings, Julian C. & Chang, C.S. Scaling to 150K cores: recent algorithm and performance engineering developments enabling XGC1 to run at scale, article, October 1, 2009; United States. (digital.library.unt.edu/ark:/67531/metadc834778/: accessed June 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.