Simulating collective neutrinos oscillations on the Intel Many Integrated Core (MIC) architecture
December 23, 2019 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Vahid Noormofidi, Susan R. Atlas, Huaiyu Duan
arXiv ID
1912.10596
Category
physics.comp-ph
Cross-listed
cs.CE,
cs.DC
Citations
0
Venue
arXiv.org
Last Checked
1 month ago
Abstract
We evaluate the second-generation Intel Xeon Phi coprocessor based on the Intel Many Integrated Core (MIC) architecture, aka the Knights Landing or KNL, for simulating neutrino oscillations in (core-collapse) supernovae. For this purpose we have developed a numerical code XFLAT which is optimized for the MIC architecture and which can run on both the homogeneous HPC platform with CPUs or Xeon Phis only and the hybrid platform with both CPUs and Xeon Phis. To efficiently utilize the SIMD (vector) units of the MIC architecture we implemented a design of Structure of Array (SoA) in the low-level module of the code. We benchmarked the code on the NERSC Cori supercomputer which is equipped with dual 68-core 7250 Xeon Phis. We find that compare to the first generation of the Xeon Phi (Knights Corner a.k.a KNC) the performance improves by many folds. Some of the problems that we encountered in this work may be solved with the advent of the new supernova model for neutrino oscillations and the next-generation Xeon Phi.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ physics.comp-ph
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
R.I.P.
๐ป
Ghosted
Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS
R.I.P.
๐ป
Ghosted
By-passing the Kohn-Sham equations with machine learning
R.I.P.
๐ป
Ghosted
Machine Learning of coarse-grained Molecular Dynamics Force Fields
R.I.P.
๐ป
Ghosted
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted