Abstract
Deployment of a large parallel system is typically a very complex process, involving several steps of preparation, delivery, installation, testing and acceptance. Despite the availability of various petascale machines currently, the steps and lessons from their deployment are rarely described in the literature. This paper presents the experiences observed during the deployment of Blue Waters, the largest supercomputer ever built by Cray and one of the most powerful machines currently available for open science. The presentation is focused on the final deployment steps, where the system was intensively tested and accepted by NCSA. After a brief introduction of the Blue Waters architecture, a detailed description of the set of acceptance tests employed is provided, including many of the obtained results. This is followed by the major lessons learned during the process. Those experiences and lessons should be useful to guide similarly complex deployments in the future.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 198-209 |
| Number of pages | 12 |
| Journal | Procedia Computer Science |
| Volume | 29 |
| DOIs | |
| State | Published - Jan 1 2014 |
| Event | 14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia Duration: Jun 10 2014 → Jun 12 2014 |
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Keywords
- Acceptance testing
- Large system deployment
- Petascale performance
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Deploying a large petascale system : The Blue Waters experience. / Mendes, Celso Luiz; Bode, Brett; Bauer, Gregory H; Enos, Jeremy James; Beldica, Cristina; Kramer, William T.
In: Procedia Computer Science, Vol. 29, 01.01.2014, p. 198-209.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Deploying a large petascale system
T2 - The Blue Waters experience
AU - Mendes, Celso Luiz
AU - Bode, Brett
AU - Bauer, Gregory H
AU - Enos, Jeremy James
AU - Beldica, Cristina
AU - Kramer, William T
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Deployment of a large parallel system is typically a very complex process, involving several steps of preparation, delivery, installation, testing and acceptance. Despite the availability of various petascale machines currently, the steps and lessons from their deployment are rarely described in the literature. This paper presents the experiences observed during the deployment of Blue Waters, the largest supercomputer ever built by Cray and one of the most powerful machines currently available for open science. The presentation is focused on the final deployment steps, where the system was intensively tested and accepted by NCSA. After a brief introduction of the Blue Waters architecture, a detailed description of the set of acceptance tests employed is provided, including many of the obtained results. This is followed by the major lessons learned during the process. Those experiences and lessons should be useful to guide similarly complex deployments in the future.
AB - Deployment of a large parallel system is typically a very complex process, involving several steps of preparation, delivery, installation, testing and acceptance. Despite the availability of various petascale machines currently, the steps and lessons from their deployment are rarely described in the literature. This paper presents the experiences observed during the deployment of Blue Waters, the largest supercomputer ever built by Cray and one of the most powerful machines currently available for open science. The presentation is focused on the final deployment steps, where the system was intensively tested and accepted by NCSA. After a brief introduction of the Blue Waters architecture, a detailed description of the set of acceptance tests employed is provided, including many of the obtained results. This is followed by the major lessons learned during the process. Those experiences and lessons should be useful to guide similarly complex deployments in the future.
KW - Acceptance testing
KW - Large system deployment
KW - Petascale performance
UR - http://www.scopus.com/inward/record.url?scp=84902768261&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902768261&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2014.05.018
DO - 10.1016/j.procs.2014.05.018
M3 - Conference article
AN - SCOPUS:84902768261
VL - 29
SP - 198
EP - 209
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
ER -