17 pages, 9 figures, submitted to IJHPCA
On the path to exascale the landscape of computer device architectures and corresponding programming models has become much more diverse. While various low-level performance portable programming models are available, support at the application level lacks behind. To address this issue, we present the performance portable block-structured adaptive mesh refinement (AMR) framework Parthenon, derived from the well-tested and widely used Athena++ astrophysical magnetohydrodynamics code, but generalized to serve as the foundation for a variety of downstream multi-physics codes. Parthenon adopts the Kokkos programming model, and provides various levels of abstractions from multi-dimensional variables, to packages defining and separating components, to launching of parallel compute kernels. Parthenon allocates all data in device memory to reduce data movement, supports the logical packing of variables and mesh blocks to reduce kernel launch overhead, and employs one-sided, asynchronous MPI calls to reduce communication overhead in multi-node simulations. Using a hydrodynamics miniapp, we demonstrate weak and strong scaling on various architectures including AMD and NVIDIA GPUs, Intel and AMD x86 CPUs, as well as Fujitsu A64FX CPUs. At the largest scale, the miniapp reaches a total of 3.5x10^12 zone-cycles/s on 4096 Summit nodes (24576 GPUs) at ~55% weak scaling parallel efficiency (starting from a single node). In combination with being an open, collaborative project, this makes Parthenon an ideal framework to target exascale simulations in which the downstream developers can focus on their specific application rather than on the complexity of handling massively-parallel, device-accelerated AMR.
12 pages, 6 figures, Research in Astron. Astrophys. in press
We conduct a detailed analysis of an M1.3 limb flare occurring on 2017 July 3, which have the X-ray observations recorded by multiple hard X-ray telescopes, including Hard X-ray Modulation Telescope (Insight-HXMT), Ramaty High Energy Solar Spectroscopic Imager (RHESSI), and The Fermi Gamma-ray Space Telescope (FERMI). Joint analysis has also used the EUV imaging data from the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamic Observatory. The hard X-ray spectral and imaging evolution suggest a lower corona source, and the non-thermal broken power law distribution has a rather low break energy $\sim$ 15 keV. The EUV imaging shows a rather stable plasma configuration before the hard X-ray peak phase, and accompanied by a filament eruption during the hard X-ray flare peak phase. Hard X-ray image reconstruction from RHESSI data only shows one foot point source. We also determined the DEM for the peak phase by SDO/AIA data. The integrated EM beyond 10 MK at foot point onset after the peak phase, while the $>$ 10 MK source around reconnection site began to fade. The evolution of EM and hard X-ray source supports lower corona plasma heating after non-thermal energy dissipation. The combination of hard X-ray spectra and images during the limb flare provides the understanding on the interchange of non-thermal and thermal energies, and relation between lower corona heating and the upper corona instability.
11 pages, 6 figures, accepted to ApJ-Letters
Submitted for publication in MNRAS. Comments welcome. 18 pages
12 pages, 7 figures, submitted to MNRAS, comments are welcome
29 pages, 12 figures, Table of Implementation Recommendations, Appendix of Community Science Pitches, AURA-commissioned whitepaper submitted to the Director of STScI (Ken Sembach) and the Director of NOIRLab (Pat McCarthy)
Accepted for publication in AJ
19 pages, 11 figures, accepted for publication by MNRAS
6 figures. Submitted to MNRAS. Comments welcome
4 pages, 1 figure
5 pages, 7 figures
16 pages, accepted for publication in MNRAS
6 pages, 6 figures, 1 tables
25 pages, 15 figures. Accepted for publication in ApJ
12 figures
19 pages, 6 figures, 2 tables
Accepted for publication in Monthly Notices of the Royal Astronomical Society Main Journal
Accepted for publication in A&A
Accepted for publication in The Astronomical Journal. 19 pages; 14 figures
9 pages, 3 figures, accepted for publication in the The Astrophysical Journal Letters
11 pages, 4 figures, and 2 tables
Submitted to the Astrophysical Journal
12 pages, 8 figures, accepted in PASP
MNRAS accepted. 16 pages, 17 figures, The code used in this paper is publicly available at github.com/JoshWilde/LensFindery-McLensFinderFace
20 pages, 9 figures; submitted to MNRAS
17 pages, 13 figures, accepted for publication in A&A
Submitted to Astronomy and Computing
29 pages, 20 figures, accepted by PTEP as a paper for "A special issue in memory of Masatoshi Koshiba, a pioneer in experimental particle physics and astrophysics"
Contribution to Snowmass 2021