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Title: Designing Scalable Distributed Memory Models: A Case Study

Abstract

Supercomputers complexity continue to rapidly increase, requiring novel software solutions to aid in addressing the extreme abundance of parallelism, restrictive power constraints, and fault tolerance requirements. While industrial standards like MPI and OpenMP have undergone extensive efforts to prepare for future systems [1, 2], ne grain asynchronous runtimes have demonstrated an innate agility in extracting performance which is otherwise arduous to attain with current execution models

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1440658
Report Number(s):
PNNL-SA-124960
KJ0402000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Proceedings of the Computing Frontiers Conference (CF 2017), May 15-17, 2017, Siena, Italy, 174-182
Country of Publication:
United States
Language:
English

Citation Formats

Landwehr, Joshua B., Suetterlein, Joshua D., Manzano Franco, Joseph B., Marquez, Andres, Barker, Kevin J., and Gao, Guang R. Designing Scalable Distributed Memory Models: A Case Study. United States: N. p., 2017. Web. doi:10.1145/3075564.3077425.
Landwehr, Joshua B., Suetterlein, Joshua D., Manzano Franco, Joseph B., Marquez, Andres, Barker, Kevin J., & Gao, Guang R. Designing Scalable Distributed Memory Models: A Case Study. United States. doi:10.1145/3075564.3077425.
Landwehr, Joshua B., Suetterlein, Joshua D., Manzano Franco, Joseph B., Marquez, Andres, Barker, Kevin J., and Gao, Guang R. Mon . "Designing Scalable Distributed Memory Models: A Case Study". United States. doi:10.1145/3075564.3077425.
@article{osti_1440658,
title = {Designing Scalable Distributed Memory Models: A Case Study},
author = {Landwehr, Joshua B. and Suetterlein, Joshua D. and Manzano Franco, Joseph B. and Marquez, Andres and Barker, Kevin J. and Gao, Guang R.},
abstractNote = {Supercomputers complexity continue to rapidly increase, requiring novel software solutions to aid in addressing the extreme abundance of parallelism, restrictive power constraints, and fault tolerance requirements. While industrial standards like MPI and OpenMP have undergone extensive efforts to prepare for future systems [1, 2], ne grain asynchronous runtimes have demonstrated an innate agility in extracting performance which is otherwise arduous to attain with current execution models},
doi = {10.1145/3075564.3077425},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {5}
}

Conference:
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Works referenced in this record:

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