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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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>CUDA has been used in many different application</p>\n\n<p>domains, not all of which are specifically image processingrelated.</p>\n\n<p>There is the opportunity to use multiple and/or distributed</p>\n\n<p>CUDA resources in cloud facilities such as Amazon</p>\n\n<p>Web Services (AWS), in order to obtain enhanced processing</p>\n\n<p>power and to satisfy time-critical requirements which cannot be</p>\n\n<p>satisfied using a single CUDA resource. In particular, this would</p>\n\n<p>provide enhanced ability for processing Big Data, especially in</p>\n\n<p>conjunction with distributed file systems (for example). In this</p>\n\n<p>paper, we present a survey of time-critical CUDA applications,</p>\n\n<p>identifying requirements and concepts that they tend to have</p>\n\n<p>in common. In particular, we investigate the terminology used</p>\n\n<p>for Quality of Service metrics, and present a taxonomy which</p>\n\n<p>summarises the underlying concepts and maps these terms to the</p>\n\n<p>diverse terminology used. We also survey typical requirements</p>\n\n<p>for developing, deploying and managing such applications. Given</p>\n\n<p>these requirements, we consider how the SWITCH platform can</p>\n\n<p>in principle support the entire life-cycle of time-critical CUDA</p>\n\n<p>application development and cloud deployment, and identify</p>\n\n<p>specific extensions which would be needed in order fully to</p>\n\n<p>support this particular class of time-critical cloud applications.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Knight, Louise"
    }, 
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Stefani, Polona"
    }, 
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Cigale, Matej"
    }, 
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Jones, Andrew C."
    }, 
    {
      "affiliation": "Cardiff University", 
      "@type": "Person", 
      "name": "Taylor, Ian"
    }
  ], 
  "headline": "Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-01-18", 
  "url": "https://zenodo.org/record/1162877", 
  "@type": "ScholarlyArticle", 
  "keywords": [
    "Time-critical applications", 
    "distributed cloud computing", 
    "CUDA"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.1162877", 
  "@id": "https://doi.org/10.5281/zenodo.1162877", 
  "workFeatured": {
    "url": "https://staff.fnwi.uva.nl/z.zhao/workshop/it4ris/2018/", 
    "alternateName": "IT4RIs", 
    "location": "Amsterdam, the Netherlands", 
    "@type": "Event", 
    "name": "the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18)"
  }, 
  "name": "Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications"
}
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