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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 nodedoi:10.1109/ipdps.2011.35 dblp:conf/ipps/BakerGSY11 fatcat:vopsrrkjcjcslczrq4ltj573ue