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Title: RAM as a Network Managed Resource

Abstract

This paper describes an architecture for and several application examples of using a dynamically allocable RAM pool over the network as part of a deep memory hierarchy. We present four different use cases, including in situ analysis, machine learning, quantum chemistry simulations, and virtualization. In each use case, we modified or implemented software to use a network RAM pool, and then evaluated the performance. The cases of in situ analysis, machine learning, and virtualization demonstrated good performance. While the quantum chemistry experiments exhibited an average slowdown of 53% for all runs, including those where resources were clearly oversubscribed, the scalability results showed promise.

Authors:
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Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
Argonne National Laboratory - Argonne Leadership Computing Facility
OSTI Identifier:
1494287
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Conference: 32nd IEEE International Parallel and Distributed Processing Symposium, 05/21/18 - 05/25/18, Vancouver, BC, CA
Country of Publication:
United States
Language:
English

Citation Formats

Allcock, William, Bernardoni, Bennett, Bertoni, Colleen, Getty, Neil, Insley, Joseph, Papka, Michael E., Rizzi, Silvio, and Toonen, Brian. RAM as a Network Managed Resource. United States: N. p., 2018. Web. doi:10.1109/ipdpsw.2018.00024.
Allcock, William, Bernardoni, Bennett, Bertoni, Colleen, Getty, Neil, Insley, Joseph, Papka, Michael E., Rizzi, Silvio, & Toonen, Brian. RAM as a Network Managed Resource. United States. doi:10.1109/ipdpsw.2018.00024.
Allcock, William, Bernardoni, Bennett, Bertoni, Colleen, Getty, Neil, Insley, Joseph, Papka, Michael E., Rizzi, Silvio, and Toonen, Brian. Tue . "RAM as a Network Managed Resource". United States. doi:10.1109/ipdpsw.2018.00024.
@article{osti_1494287,
title = {RAM as a Network Managed Resource},
author = {Allcock, William and Bernardoni, Bennett and Bertoni, Colleen and Getty, Neil and Insley, Joseph and Papka, Michael E. and Rizzi, Silvio and Toonen, Brian},
abstractNote = {This paper describes an architecture for and several application examples of using a dynamically allocable RAM pool over the network as part of a deep memory hierarchy. We present four different use cases, including in situ analysis, machine learning, quantum chemistry simulations, and virtualization. In each use case, we modified or implemented software to use a network RAM pool, and then evaluated the performance. The cases of in situ analysis, machine learning, and virtualization demonstrated good performance. While the quantum chemistry experiments exhibited an average slowdown of 53% for all runs, including those where resources were clearly oversubscribed, the scalability results showed promise.},
doi = {10.1109/ipdpsw.2018.00024},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Conference:
Other availability
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