1162877
doi
10.5281/zenodo.1162877
oai:zenodo.org:1162877
user-eu
Stefani, Polona
Cardiff University
Cigale, Matej
Cardiff University
Jones, Andrew C.
Cardiff University
Taylor, Ian
Cardiff University
Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications
Knight, Louise
Cardiff University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Time-critical applications
distributed cloud computing
CUDA
<p>CUDA has been used in many different application</p>
<p>domains, not all of which are specifically image processingrelated.</p>
<p>There is the opportunity to use multiple and/or distributed</p>
<p>CUDA resources in cloud facilities such as Amazon</p>
<p>Web Services (AWS), in order to obtain enhanced processing</p>
<p>power and to satisfy time-critical requirements which cannot be</p>
<p>satisfied using a single CUDA resource. In particular, this would</p>
<p>provide enhanced ability for processing Big Data, especially in</p>
<p>conjunction with distributed file systems (for example). In this</p>
<p>paper, we present a survey of time-critical CUDA applications,</p>
<p>identifying requirements and concepts that they tend to have</p>
<p>in common. In particular, we investigate the terminology used</p>
<p>for Quality of Service metrics, and present a taxonomy which</p>
<p>summarises the underlying concepts and maps these terms to the</p>
<p>diverse terminology used. We also survey typical requirements</p>
<p>for developing, deploying and managing such applications. Given</p>
<p>these requirements, we consider how the SWITCH platform can</p>
<p>in principle support the entire life-cycle of time-critical CUDA</p>
<p>application development and cloud deployment, and identify</p>
<p>specific extensions which would be needed in order fully to</p>
<p>support this particular class of time-critical cloud applications.</p>
Zenodo
2018-01-18
info:eu-repo/semantics/conferencePaper
1162876
user-eu
award_title=Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications; award_number=643963; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/643963; funder_id=00k4n6c32; funder_name=European Commission;
1579541725.76602
108084
md5:80e62bb5c9c782ca1587cca2b3b41bac
https://zenodo.org/records/1162877/files/2.Louise Knight Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications.pdf
130520
md5:c1d32af5efddd37cc22836795a7e905a
https://zenodo.org/records/1162877/files/2.IT4RIs_18_paper_3.pdf
public
10.5281/zenodo.1162876
isVersionOf
doi