Challenges of Algebraic Multigrid across Multicore Architectures

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Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential component of many simulation codes. AMG has shown to be extremely efficient on distributed-memory architectures. However, when executed on modern multicore architectures, we face new challenges that can significantly deteriorate AMG's performance. We examine its performance and scalability on three disparate multicore architectures: a cluster with four AMD Opteron Quad-core processors per node (Hera), a Cray XT5 with two AMD Opteron Hex-core processors per node (Jaguar), and an IBM BlueGene/P system with a single Quad-core processor (Intrepid). We discuss our experiences on these platforms and present ... continued below

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PDF-file: 13 pages; size: 0.5 Mbytes

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Baker, A H; Gamblin, T; Schulz, M & Yang, U M April 12, 2010.

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Algebraic multigrid (AMG) is a popular solver for large-scale scientific computing and an essential component of many simulation codes. AMG has shown to be extremely efficient on distributed-memory architectures. However, when executed on modern multicore architectures, we face new challenges that can significantly deteriorate AMG's performance. We examine its performance and scalability on three disparate multicore architectures: a cluster with four AMD Opteron Quad-core processors per node (Hera), a Cray XT5 with two AMD Opteron Hex-core processors per node (Jaguar), and an IBM BlueGene/P system with a single Quad-core processor (Intrepid). We discuss our experiences on these platforms and present results using both an MPI-only and a hybrid MPI/OpenMP model. We also discuss a set of techniques that helped to overcome the associated problems, including thread and process pinning and correct memory associations.

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PDF-file: 13 pages; size: 0.5 Mbytes

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  • Presented at: Supercomputing 2010, New Orleans, LA, United States, Nov 13 - Nov 19, 2010

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  • Report No.: LLNL-CONF-427763
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 1013213
  • Archival Resource Key: ark:/67531/metadc845458

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Office of Scientific & Technical Information Technical Reports

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  • April 12, 2010

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  • May 19, 2016, 3:16 p.m.

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  • Nov. 22, 2016, 10:08 p.m.

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Baker, A H; Gamblin, T; Schulz, M & Yang, U M. Challenges of Algebraic Multigrid across Multicore Architectures, article, April 12, 2010; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc845458/: accessed October 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.