{"id":{"repo_id":"unm","oai_identifier":"oai:digitalrepository.unm.edu:ece_etds-1193"},"canonical_url":"https://search.dev.ndltd.org/etd/unm/oai:digitalrepository.unm.edu:ece_etds-1193","repository":{"repo_id":"unm","name":"University of New Mexico","base_url":"https://digitalrepository.unm.edu/do/oai/"},"display":{"title":"Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures","abstract":"In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is a hybrid modular code which was designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both the CPU and the Xeon Phi co-processor, the latter of which is based on the Intel Many Integrated Core Architecture (MIC). The performance of XFLAT on various system configurations and physics scenarios has been analyzed. 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XFLAT is a hybrid modular code which was designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both the CPU and the Xeon Phi co-processor, the latter of which is based on the Intel Many Integrated Core Architecture (MIC). The performance of XFLAT on various system configurations and physics scenarios has been analyzed. In addition, the impact of I/O and the multi-node configuration on the Xeon Phi-equipped heterogeneous supercomputers such as Stampede at the Texas Advanced Computing Center (TACC) was investigated."]},{"key":"dc:title","label":"Title","values":["Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures"]}]}],"canonical_facts":{"dc:contributor":["Duan, Huaiy","Atlas, Susan R.","Gilmore, Mark","Yang, Yin","Allahverdi, Rouzbeh"],"dc:creator":["Noormofidi, Seyed Vahid"],"dc:description.abstract":["In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is a hybrid modular code which was designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). It can run on both the CPU and the Xeon Phi co-processor, the latter of which is based on the Intel Many Integrated Core Architecture (MIC). 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