Stepping Up

Adrian Jackson

doi:10.1109/SYNASC.2013.12

Stepping Up

Adrian Jackson

School of Physics and Astronomy

Research output: Contribution to conference › Paper › peer-review

Abstract / Description of output

Computational simulation is an important research tool for modern scientists. There are a range of different scales of high performance computing (HPC) resources available to scientists, from laptop and desktop machines, to small institutional clusters, to national HPC resources, and the largest parallel computers in the world. This paper outlines the challenges that developers and users face moving from small scale computational resources to larger scale parallel machines. We present an overview of various research efforts to improve performance on large scale systems to enable users and developers to gain an understanding of the performance issues often encountered by simulation codes.

Original language	English
Pages	37
Number of pages	41
DOIs	https://doi.org/10.1109/SYNASC.2013.12
Publication status	Published - 26 Sept 2013
Event	Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2013 15th International Symposium on - , Romania Duration: 23 Sept 2013 → 26 Sept 2013

Conference

Conference	Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2013 15th International Symposium on
Country/Territory	Romania
Period	23/09/13 → 26/09/13

Access to Document

10.1109/SYNASC.2013.12

Multilateral Research Funding Nu-FuSE
Ackland, G. & Trew, A.
EPSRC
4/04/11 → 30/09/14
Project: Research
Science and Innovation: Numerical Algorithms and Intelligent Software for the Evolving HPC Platform
Leimkuhler, B.
EPSRC
1/08/09 → 31/07/14
Project: Research

Cite this

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title = "Stepping Up",

abstract = "Computational simulation is an important research tool for modern scientists. There are a range of different scales of high performance computing (HPC) resources available to scientists, from laptop and desktop machines, to small institutional clusters, to national HPC resources, and the largest parallel computers in the world. This paper outlines the challenges that developers and users face moving from small scale computational resources to larger scale parallel machines. We present an overview of various research efforts to improve performance on large scale systems to enable users and developers to gain an understanding of the performance issues often encountered by simulation codes.",

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PY - 2013/9/26

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AB - Computational simulation is an important research tool for modern scientists. There are a range of different scales of high performance computing (HPC) resources available to scientists, from laptop and desktop machines, to small institutional clusters, to national HPC resources, and the largest parallel computers in the world. This paper outlines the challenges that developers and users face moving from small scale computational resources to larger scale parallel machines. We present an overview of various research efforts to improve performance on large scale systems to enable users and developers to gain an understanding of the performance issues often encountered by simulation codes.

U2 - 10.1109/SYNASC.2013.12

DO - 10.1109/SYNASC.2013.12

M3 - Paper

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T2 - Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2013 15th International Symposium on

Y2 - 23 September 2013 through 26 September 2013

ER -

Stepping Up

Abstract / Description of output

Conference

Access to Document

Fingerprint

Projects

Multilateral Research Funding Nu-FuSE

Science and Innovation: Numerical Algorithms and Intelligent Software for the Evolving HPC Platform

Cite this