A 400 trillion-grid Vlasov Simulation on Fugaku Supercomputer: large-scale Distribution of Cosmic Relic Neutrinos in a Six-dimensional Phase Space

We report a Vlasov simulation of cosmic relic neutrinos combined with N -body simulation of cold dark matter in the context of large-scale structure formation in the Universe performed on Fugaku supercomputer. Gravitational dynamics of the neutrinos is followed, for the first time, by directly integ...

Full description

Saved in:
Bibliographic Details
Published in:SC21: International Conference for High Performance Computing, Networking, Storage and Analysis pp. 1 - 11
Main Authors: Yoshikawa, Kohji, Tanaka, Satoshi, Yoshida, Naoki
Format: Conference Proceeding
Language:English
Published: ACM 14.11.2021
Subjects:
comic relic neutrino
Computational modeling
Dark matter
Fugaku
High performance computing
large-scale structure in the universe
Mathematical models
Neutrino sources
Program processors
Supercomputers
Vlasov simulation
ISSN:2167-4337
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We report a Vlasov simulation of cosmic relic neutrinos combined with N -body simulation of cold dark matter in the context of large-scale structure formation in the Universe performed on Fugaku supercomputer. Gravitational dynamics of the neutrinos is followed, for the first time, by directly integrating the Vlasov equation in a six-dimensional phase space. Our largest simulation combines the Vlasov simulation on 400 trillion grids and 330 billion-body calculations in a self-consistent manner, and reproduces accurately the nonlinear dynamics of neutrinos in the Universe. The novel high-order Vlasov solver is optimized by combining an array of state-of-the-art numerical schemes and fully utilizing the SIMD instructions on the A64FX processors. Time-To-Solution of our simulation is an order of magnitude shorter than the largest N-body simulations. The performance scales excellently with up to 147,456 nodes (7 million CPU cores) on Fugaku; the weak and strong scaling efficiencies are 82% - 96% and 82% - 93%, respectively.
ISSN:2167-4337
DOI:10.1145/3458817.3487401