@inproceedings{c7ec500140f444edaf6390bf170132e3,
title = "Challenges of scaling algebraic multigrid across modern multicore architectures",
abstract = "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 Blue Gene/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.",
author = "Baker, \{Allison H.\} and Todd Gamblin and Martin Schulz and Yang, \{Ulrike Meier\}",
year = "2011",
doi = "10.1109/IPDPS.2011.35",
language = "English",
isbn = "9780769543857",
series = "Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011",
publisher = "IEEE Computer Society",
pages = "275--286",
booktitle = "Proceedings - 25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011",
address = "United States",
note = "25th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2011 ; Conference date: 16-05-2011 Through 20-05-2011",
}