Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures

Allison H. Baker, Todd Gamblin, Martin Schulz, Ulrike Meier Yang
2011 2011 IEEE International Parallel & Distributed Processing Symposium  
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
more » ... ra), 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.
doi:10.1109/ipdps.2011.35 dblp:conf/ipps/BakerGSY11 fatcat:vopsrrkjcjcslczrq4ltj573ue