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Mapping application performance to HPC architecture

delete2012-03-01
delete5
PRE
AI
A
Alan Gray *
I
Iain Bethune
R
R.D. Kenway
L
Lorna Smith
M
Martyn F. Guest
K
Kitchen, C.
P
Paul Calleja
A
A. Korzynski
S
Stuart Rankin
M
Mike Ashworth
A
Andrew Porter
I
Ilian T. Todorov
M
Martyn Plummer
E
Eurig W. Jones
L
L. Steenman‐Clark
B
Barry Ralston
C
Charles A. Laughton
DOI:10.1016/j.cpc.2011.11.013delete
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摘要

摘要

En 中文
A suite of application benchmarks, designed to be broadly representative of UK HPC usage, has been developed to stress a broad range of architectural features of large scale parallel HPC resources. A generic methodology to investigate application performance and scaling characteristics has been defined, resulting in a detailed understanding of the performance of these applications. This methodology is transferable to other applications and systems: it is of practical value to developers and users who are aiming for optimal utilisation of HPC resources. An understanding of the performance characteristics of a range of large-scale HPC resources has been obtained using low-level synthetic benchmarks. A relatively simple, qualitative mechanism to assess and predict application performance on current and future architectures using synthetic benchmark results together with application performance analysis results is explored. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Performance analysis
Benchmarking
High performance computing
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期刊

Computer Physics Communications 封面图
Computer Physics Communications
IF:
3.4
论文数:
1.2W
被引数:
3.7W

机构

U
University of Nottingham
学者数:
3.4W
论文数: 3.2W
被引数: 5.5W
C
Cardiff University
学者数:
2.7W
论文数: 2.5W
被引数: 3.5W
U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
U
University of Reading
学者数:
1.0W
论文数: 1.1W
被引数: 1.7W
U
University of Edinburgh
学者数:
5.2W
论文数: 4.6W
被引数: 71
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