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

Citation Style Language JSON Export

  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1162877", 
  "language": "eng", 
  "title": "Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications", 
  "issued": {
    "date-parts": [
  "abstract": "<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>", 
  "author": [
      "family": "Knight, Louise"
      "family": "Stefani, Polona"
      "family": "Cigale, Matej"
      "family": "Jones, Andrew C."
      "family": "Taylor, Ian"
  "id": "1162877", 
  "event-place": "Amsterdam, the Netherlands", 
  "type": "paper-conference", 
  "event": "the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18) (IT4RIs)"
All versions This version
Views 197197
Downloads 6464
Data volume 8.0 MB8.0 MB
Unique views 194194
Unique downloads 5252


Cite as