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


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/fcd7c53a-924c-4eaa-bf23-fb4765f161f5/2.IT4RIs_18_paper_3.pdf"
      }, 
      "checksum": "md5:c1d32af5efddd37cc22836795a7e905a", 
      "bucket": "fcd7c53a-924c-4eaa-bf23-fb4765f161f5", 
      "key": "2.IT4RIs_18_paper_3.pdf", 
      "type": "pdf", 
      "size": 130520
    }, 
    {
      "links": {
        "self": "https://zenodo.org/api/files/fcd7c53a-924c-4eaa-bf23-fb4765f161f5/2.Louise%20Knight%20Towards%20a%20Methodology%20for%20Creating%20Time-critical%2C%20Cloud-based%20CUDA%20Applications.pdf"
      }, 
      "checksum": "md5:80e62bb5c9c782ca1587cca2b3b41bac", 
      "bucket": "fcd7c53a-924c-4eaa-bf23-fb4765f161f5", 
      "key": "2.Louise Knight Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications.pdf", 
      "type": "pdf", 
      "size": 108084
    }
  ], 
  "owners": [
    26570
  ], 
  "doi": "10.5281/zenodo.1162877", 
  "stats": {
    "version_unique_downloads": 52.0, 
    "unique_views": 198.0, 
    "views": 201.0, 
    "version_views": 201.0, 
    "unique_downloads": 52.0, 
    "version_unique_views": 198.0, 
    "volume": 8039176.0, 
    "version_downloads": 64.0, 
    "downloads": 64.0, 
    "version_volume": 8039176.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.1162877", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.1162876", 
    "bucket": "https://zenodo.org/api/files/fcd7c53a-924c-4eaa-bf23-fb4765f161f5", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.1162876.svg", 
    "html": "https://zenodo.org/record/1162877", 
    "latest_html": "https://zenodo.org/record/1162877", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.1162877.svg", 
    "latest": "https://zenodo.org/api/records/1162877"
  }, 
  "conceptdoi": "10.5281/zenodo.1162876", 
  "created": "2018-01-30T20:06:41.524715+00:00", 
  "updated": "2020-01-20T17:35:25.766020+00:00", 
  "conceptrecid": "1162876", 
  "revision": 5, 
  "id": 1162877, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.1162877", 
    "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>", 
    "language": "eng", 
    "title": "Towards a Methodology for Creating Time-critical, Cloud-based CUDA Applications", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "1162876"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "1162877"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "643963", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::643963"
        }, 
        "title": "Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications", 
        "acronym": "SWITCH", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "Time-critical applications", 
      "distributed cloud computing", 
      "CUDA"
    ], 
    "publication_date": "2018-01-18", 
    "creators": [
      {
        "affiliation": "Cardiff University", 
        "name": "Knight, Louise"
      }, 
      {
        "affiliation": "Cardiff University", 
        "name": "Stefani, Polona"
      }, 
      {
        "affiliation": "Cardiff University", 
        "name": "Cigale, Matej"
      }, 
      {
        "affiliation": "Cardiff University", 
        "name": "Jones, Andrew C."
      }, 
      {
        "affiliation": "Cardiff University", 
        "name": "Taylor, Ian"
      }
    ], 
    "meeting": {
      "acronym": "IT4RIs", 
      "url": "https://staff.fnwi.uva.nl/z.zhao/workshop/it4ris/2018/", 
      "dates": "18 January 2018", 
      "place": "Amsterdam, the Netherlands", 
      "title": "the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18)"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.1162876", 
        "relation": "isVersionOf"
      }
    ]
  }
}
201
64
views
downloads
All versions This version
Views 201201
Downloads 6464
Data volume 8.0 MB8.0 MB
Unique views 198198
Unique downloads 5252

Share

Cite as