Please help transcribe this video using our simple transcription tool. You need to be logged in to do so.
Algebraic multigrid (AMG) is a popular solver for large-scale scienti?c computing and an essential component of many simulation codes. AMG has shown to be extremely ef?cient on distributed-memory architectures. However, when executed on modern multicore architectures, we face new challenges that can signi?cantly deteriorate AMGâ€™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.
Questions and AnswersYou need to be logged in to be able to post here.