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Title: Simulations of Double Layer Formation: Institutional Computing 2016


Simulations for the 2D particle-in-cell (PIC) cases cited are presented.

 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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Resource Type:
Technical Report
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING; Heliospheric and Magnetospheric Physics

Citation Formats

Cowee, Misa, and Fu, Xiangrong. Simulations of Double Layer Formation: Institutional Computing 2016. United States: N. p., 2017. Web. doi:10.2172/1338714.
Cowee, Misa, & Fu, Xiangrong. Simulations of Double Layer Formation: Institutional Computing 2016. United States. doi:10.2172/1338714.
Cowee, Misa, and Fu, Xiangrong. Mon . "Simulations of Double Layer Formation: Institutional Computing 2016". United States. doi:10.2172/1338714.
title = {Simulations of Double Layer Formation: Institutional Computing 2016},
author = {Cowee, Misa and Fu, Xiangrong},
abstractNote = {Simulations for the 2D particle-in-cell (PIC) cases cited are presented.},
doi = {10.2172/1338714},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 02 00:00:00 EST 2017},
month = {Mon Jan 02 00:00:00 EST 2017}

Technical Report:

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  • The Institutional Computing Executive Group (ICEG) review of FY05-06 Multiprogrammatic and Institutional Computing (M and IC) activities is presented in the attached report. In summary, we find that the M and IC staff does an outstanding job of acquiring and supporting a wide range of institutional computing resources to meet the programmatic and scientific goals of LLNL. The responsiveness and high quality of support given to users and the programs investing in M and IC reflects the dedication and skill of the M and IC staff. M and IC has successfully managed serial capacity, parallel capacity, and capability computing resources.more » Serial capacity computing supports a wide range of scientific projects which require access to a few high performance processors within a shared memory computer. Parallel capacity computing supports scientific projects that require a moderate number of processors (up to roughly 1000) on a parallel computer. Capability computing supports parallel jobs that push the limits of simulation science. M and IC has worked closely with Stockpile Stewardship, and together they have made LLNL a premier institution for computational and simulation science. Such a standing is vital to the continued success of laboratory science programs and to the recruitment and retention of top scientists. This report provides recommendations to build on M and IC's accomplishments and improve simulation capabilities at LLNL. We recommend that institution fully fund (1) operation of the atlas cluster purchased in FY06 to support a few large projects; (2) operation of the thunder and zeus clusters to enable 'mid-range' parallel capacity simulations during normal operation and a limited number of large simulations during dedicated application time; (3) operation of the new yana cluster to support a wide range of serial capacity simulations; (4) improvements to the reliability and performance of the Lustre parallel file system; (5) support for the new GDO petabyte-class storage facility on the green network for use in data intensive external collaborations; and (6) continued support for visualization and other methods for analyzing large simulations. We also recommend that M and IC begin planning in FY07 for the next upgrade of its parallel clusters. LLNL investments in M and IC have resulted in a world-class simulation capability leading to innovative science. We thank the LLNL management for its continued support and thank the M and IC staff for its vision and dedicated efforts to make it all happen.« less