DocumentCode
728866
Title
Ensuring an Effective User Experience When Managing and Running Scientific HPC Software
Author
Cohen, Jeremy ; Moxey, David ; Cantwell, Chris ; Austing, Peter ; Darlington, John ; Sherwin, Spencer
Author_Institution
Dept. of Comput., Imperial Coll. London, London, UK
fYear
2015
fDate
18-18 May 2015
Firstpage
56
Lastpage
59
Abstract
With CPU clock speeds stagnating over the last few years, ongoing advances in computing power and capabilities are being supported through increasing multi- and many-core parallelism. The resulting cost of locally maintaining large-scale computing infrastructure, combined with the need to perform increasingly large simulations, is leading to the wider use of alternative models of accessing infrastructure, such as the use of Infrastructure-as-a-Service (IaaS) cloud platforms. The diversity of platforms and the methods of interacting with them can make using them with complex scientific HPC codes difficult for users. In this position paper, we discuss our approaches to tackling these challenges on heterogeneous resources. As an example of the application of these approaches we use Nekkloud, our web-based interface for simplifying job specification and deployment of the Nektar++ high-order finite element HPC code. We also present results from a recent Nekkloud evaluation workshop undertaken with a group of Nektar++ users.
Keywords
cloud computing; parallel processing; CPU clock speeds; Nekkloud evaluation workshop; Nektar++ high-order finite element HPC code; Web-based interface; complex scientific HPC codes; effective user experience; heterogeneous resources; infrastructure-as-a-service cloud platforms; large-scale computing infrastructure; many-core parallelism; multicore parallelism; scientific HPC software; Complexity theory; Computational modeling; Conferences; Data models; Documentation; Usability; Finite element methods; Infrastructure as a Service; Job specification;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering for High Performance Computing in Science (SE4HPCS), 2015 IEEE/ACM 1st International Workshop on
Conference_Location
Florence
Type
conf
DOI
10.1109/SE4HPCS.2015.16
Filename
7173512
Link To Document