1/31/2024 0 Comments Ran neutrino plus![]() ![]() HACC’s design allows for ease of portability, and at the same time, high levels of sustained performance on the fastest supercomputers available. It has been demonstrated at scale on Cell- and GPU-accelerated systems, standard multi-core node clusters, and Blue Gene systems. HACC can run on all current supercomputer architectures and supports a variety of programming models and algorithms. Here we report on HACC (Hardware/Hybrid Accelerated Cosmology Code), a recently developed and evolving cosmology N-body code framework, designed to run efficiently on diverse computing architectures and to scale to millions of cores and beyond. Just as survey instruments continue to grow in size and complexity, so do the supercomputers that more » enable these simulations. Large-scale simulations of structure formation in the Universe play a critical role in the interpretation of the data and extraction of the physics of interest. In addition, the surveys also probe primordial perturbations and carry out fundamental measurements, such as determining the sum of neutrino masses. (ANL), Argonne, IL (United States) Sponsoring Org.: Natural Sciences and Engineering Research Council of Canada (NSERC) European Commission (EC) National Science Foundation of China Fundamental Research Funds for the Central Universities National Natural Science Foundation of China (NSFC) Chinese Academy of Sciences (CAS) Ministry of Science and Technology of the People's Republic of China USDOE Office of Science (SC), Basic Energy Sciences (BES) OSTI Identifier: 1393579 Grant/Contract Number: AC02-06CH11357 Resource Type: Journal Article: Accepted Manuscript Journal Name: Research in Astronomy and Astrophysics Additional Journal Information: Journal Volume: 17 Journal Issue: 8 Journal ID: ISSN 1674-4527 Country of Publication: United States Language: English Subject: 79 ASTRONOMY AND ASTROPHYSICS Cosmology: theory large-scale structure of universe methods: = ,Ĭurrent and future surveys of large-scale cosmic structure are associated with a massive and complex datastream to study, characterize, and ultimately understand the physics behind the two major components of the ‘Dark Universe’, dark energy and dark matter. Publication Date: Research Org.: Argonne National Lab. School of Physical Sciences Chinese Academy of Sciences (CAS), Beijing (China). Chinese Academy of Sciences (CAS), Beijing (China).Key Laboratory for Computational Astrophysics, National Astronomical Observatories Beijing Normal Univ., Beijing (China).Scottish University Physics Alliance, Inst. of British Columbia, Vancouver, BC (Canada). for Theoretical Physics, Waterloo (Canada) for Advanced Research (Canada) Perimeter Inst. for Astronomy and Astrophysics Canadian Inst. Shandong Provincial Key Laboratory of Biophysics for Astronomy & Astrophysics Beijing Normal Univ., Beijing (China). for Theoretical Astrophysics Peking Univ., Beijing (China). of Astronomy & Astrophysics Argonne National Lab. We finish with a discussion of the unanticipated computational challenges that were encountered during the TianNu runtime. With a total of 2.97 trillion particles, TianNu is currently the world’s largest cosmological N-body simulation and improves upon previous neutrino simulations by two orders of magnitude in scale. We scale the neutrino problem to the Tianhe-2 supercomputer and provide details of our production run, named TianNu, which uses 86% of the machine (13,824 compute nodes). ![]() We highlight code optimizations made to exploit modern high performance computing architectures and present a novel method of data compression that reduces the phase-space particle footprint from 24 bytes in single precision to roughly 9 bytes. We incorporate neutrinos into the cosmological N-body code CUBEP3M and discuss the challenges associated with pushing to the extreme scales demanded by the neutrino problem. Numerical simulations of the non-linear evolution of cold dark matter and neutrinos play a pivotal role in this process. Achieving this goal relies on an equal level of precision from theoretical predictions of neutrino clustering. Precision measurements are expected from several upcoming cosmological probes of large-scale structure. Constraining neutrino mass remains an elusive challenge in modern physics. ![]()
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