R
R. Neely
Researcher at Lawrence Livermore National Laboratory
Publications - 11
Citations - 151
R. Neely is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Center of excellence & Scheduling (computing). The author has an hindex of 4, co-authored 10 publications receiving 145 citations. Previous affiliations of R. Neely include Sandia National Laboratories.
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Proceedings ArticleDOI
Improving the Scalability of Parallel Jobs by adding Parallel Awareness to the Operating System
Terry Jones,Shawn Dawson,R. Neely,William G. Tuel,Larry Bert Brenner,Jeffrey Fier,Robert S. Blackmore,Patrick Caffrey,Brian Maskell,Paul Tomlinson,Mark Roberts +10 more
TL;DR: A novel co-scheduling scheme for improving performance of fine-grain collective activities such as barriers and reductions is presented, an implementation consisting of operating system kernel modifications and run-time system is described, and a set of empirical results comparing the technique with traditional operating system scheduling are presented.
ReportDOI
ASC Tri-lab Co-design Level 2 Milestone Report 2015
Rich Hornung,Holger E. Jones,Jeff Keasler,R. Neely,Olga Pearce,Si Hammond,Christian Robert Trott,Paul Lin,Courtenay T. Vaughan,Jeanine Cook,Rob Hoekstra,Ben Bergen,Josh Payne,Geoff Womeldorff +13 more
Modeling thermally driven energetic response of high explosives in ALE3D
TL;DR: In this article, the authors improved their ability to model the response of energetic materials to thermal stimuli and the processes involved in the energetic response, and developed an implicit time step option to efficiently and accurately compute the hours of heating to reaction of the energetic material.
A Model for High Explosive Cookoff
TL;DR: In this paper, a level set driven multi-material deflagration model, a multi-temperature mixed material treatment, self-consistent thermal-hydro coupling, full implicit quasi-static hydrodynamics, ale slide surfaces and ale slide deletion have been developed to increase the accuracy and fidelity of the modeling process.
Proceedings ArticleDOI
Preparation and optimization of a diverse workload for a large-scale heterogeneous system
Ian Karlin,Yoonho Park,Bronis R. de Supinski,Peng Wang,Bert Still,David Beckingsale,Robert C. Blake,Tong Chen,Guojing Cong,Carlos Costa,Johann Dahm,Giacomo Domeniconi,T Epperly,Aaron Fisher,Sara I. L. Kokkila-Schumacher,Steven H. Langer,Hai Le,Eun Kyung Lee,Naoya Maruyama,Xinyu Que,David F. Richards,Björn Sjögreen,Jonathan J. Wong,Carol S. Woodward,Ulrike Meier Yang,Xiaohua Zhang,Bob Anderson,David Appelhans,Levi Barnes,Peter D. Barnes,Sorin Bastea,David Boehme,Jamie A. Bramwell,Jim Brase,Jose R. Brunheroto,Barry Chen,Charway R. Cooper,Tony Degroot,Robert D. Falgout,Todd Gamblin,David J. Gardner,James N. Glosli,John A. Gunnels,M. P. Katz,Tzanio V. Kolev,I-Feng W. Kuo,Matthew Legendre,Ruipeng Li,Pei-Hung Lin,Shelby Lockhart,Kathleen McCandless,Claudia Misale,Jaime H. Moreno,R. Neely,Jarom Nelson,Rao Nimmakayala,Kathryn M. O'Brien,Kevin O'Brien,Ramesh Pankajakshan,Roger Pearce,Slaven Peles,Phil Regier,Steve Rennich,Martin Schulz,Howard A. Scott,James C. Sexton,Kathleen Shoga,Shiv Sundram,Guillaume Thomas-Collignon,Brian Van Essen,Alexey Voronin,Bob Walkup,Lu Wang,Christopher Ward,Hui-Fang Wen,Daniel A. White,Christopher Young,Cyril Zeller,Ed Zywicz +78 more
TL;DR: Early science and performance results show that the project enabled significant early seismic science with up to a l4X throughput increase over Cori, and the approach to this preparation, including management and execution strategies, is described.