Conference paper Open Access

Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications

Knight, Louise; Stefani, Polona; Cigale, Matej; Jones, Andrew C.; Taylor, Ian


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    <subfield code="a">&lt;p&gt;CUDA has been used in many different application&lt;/p&gt;

&lt;p&gt;domains, not all of which are specifically image processingrelated.&lt;/p&gt;

&lt;p&gt;There is the opportunity to use multiple and/or distributed&lt;/p&gt;

&lt;p&gt;CUDA resources in cloud facilities such as Amazon&lt;/p&gt;

&lt;p&gt;Web Services (AWS), in order to obtain enhanced processing&lt;/p&gt;

&lt;p&gt;power and to satisfy time-critical requirements which cannot be&lt;/p&gt;

&lt;p&gt;satisfied using a single CUDA resource. In particular, this would&lt;/p&gt;

&lt;p&gt;provide enhanced ability for processing Big Data, especially in&lt;/p&gt;

&lt;p&gt;conjunction with distributed file systems (for example). In this&lt;/p&gt;

&lt;p&gt;paper, we present a survey of time-critical CUDA applications,&lt;/p&gt;

&lt;p&gt;identifying requirements and concepts that they tend to have&lt;/p&gt;

&lt;p&gt;in common. In particular, we investigate the terminology used&lt;/p&gt;

&lt;p&gt;for Quality of Service metrics, and present a taxonomy which&lt;/p&gt;

&lt;p&gt;summarises the underlying concepts and maps these terms to the&lt;/p&gt;

&lt;p&gt;diverse terminology used. We also survey typical requirements&lt;/p&gt;

&lt;p&gt;for developing, deploying and managing such applications. Given&lt;/p&gt;

&lt;p&gt;these requirements, we consider how the SWITCH platform can&lt;/p&gt;

&lt;p&gt;in principle support the entire life-cycle of time-critical CUDA&lt;/p&gt;

&lt;p&gt;application development and cloud deployment, and identify&lt;/p&gt;

&lt;p&gt;specific extensions which would be needed in order fully to&lt;/p&gt;

&lt;p&gt;support this particular class of time-critical cloud applications.&lt;/p&gt;</subfield>
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