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Title: Argo NodeOS: Toward Unified Resource Management for Exascale

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1367993
Report Number(s):
LLNL-CONF-723881
DOE Contract Number:
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: IEEE International Parallel and Distributed Processing Symposium, Orlando, FL, United States, May 29 - Jun 02, 2017
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Perarnau, S, Zounmevo, J A, Dreher, M, Van Essen, B C, Gioiosa, R, Iskra, K, Gokhale, M B, Yoshii, K, and Beckman, P. Argo NodeOS: Toward Unified Resource Management for Exascale. United States: N. p., 2017. Web. doi:10.1109/IPDPS.2017.25.
Perarnau, S, Zounmevo, J A, Dreher, M, Van Essen, B C, Gioiosa, R, Iskra, K, Gokhale, M B, Yoshii, K, & Beckman, P. Argo NodeOS: Toward Unified Resource Management for Exascale. United States. doi:10.1109/IPDPS.2017.25.
Perarnau, S, Zounmevo, J A, Dreher, M, Van Essen, B C, Gioiosa, R, Iskra, K, Gokhale, M B, Yoshii, K, and Beckman, P. Wed . "Argo NodeOS: Toward Unified Resource Management for Exascale". United States. doi:10.1109/IPDPS.2017.25. https://www.osti.gov/servlets/purl/1367993.
@article{osti_1367993,
title = {Argo NodeOS: Toward Unified Resource Management for Exascale},
author = {Perarnau, S and Zounmevo, J A and Dreher, M and Van Essen, B C and Gioiosa, R and Iskra, K and Gokhale, M B and Yoshii, K and Beckman, P},
abstractNote = {},
doi = {10.1109/IPDPS.2017.25},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 15 00:00:00 EST 2017},
month = {Wed Feb 15 00:00:00 EST 2017}
}

Conference:
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  • The Argo project is a DOE initiative for designing a modular operating system/runtime for the next generation of supercomputers. A key focus area in this project is power management, which is one of the main challenges on the path to exascale. In this paper, we discuss ideas for systemwide power management in the Argo project. We present a hierarchical and scalable approach to maintain a power bound at scale, and we highlight some early results.
  • The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The NDCX II will be used in studies of material in the warm dense matter (WDM) regime, and ion beam/hydrodynamic coupling experiments relevant to heavy ion based inertial fusion energy. We discuss recent efforts to adapt the 3D ALE-AMR code to model WDM experiments on NDCX II. The code, which combines Arbitrary Lagrangianmore » Eulerian (ALE) hydrodynamics with Adaptive Mesh Refinement (AMR), has physics models that include ion deposition, radiation hydrodynamics, thermal diffusion, anisotropic material strength with material time history, and advanced models for fragmentation. Experiments at NDCX-II will explore the process of bubble and droplet formation (two-phase expansion) of superheated metal solids using ion beams. Experiments at higher temperatures will explore equation of state and heavy ion fusion beam-to-target energy coupling efficiency. Ion beams allow precise control of local beam energy deposition providing uniform volumetric heating on a timescale shorter than that of hydrodynamic expansion. The ALE-AMR code does not have any export control restrictions and is currently running at the National Energy Research Scientific Computing Center (NERSC) at LBNL and has been shown to scale well to thousands of CPUs. New surface tension models that are being implemented and applied to WDM experiments. Some of the approaches use a diffuse interface surface tension model that is based on the advective Cahn-Hilliard equations, which allows for droplet breakup in divergent velocity fields without the need for imposed perturbations. Other methods require seeding or other methods for droplet breakup. We also briefly discuss the effects of the move to exascale computing and related computational changes on general modeling codes in fusion energy.« less