July 1, 2019 Conference paper Open Access

Leon, Vasileios; Asimakopoulos, Konstantinos; Xydis, Sotirios; Soudris, Dimitrios; Pekmestzi, Kiamal

JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/7c1eb102-e455-4d2f-88e8-eddcf23e3abe/dac-Leon.pdf"
      }, 
      "checksum": "md5:600061dcbbe96fcc3ffcada2124c1856", 
      "bucket": "7c1eb102-e455-4d2f-88e8-eddcf23e3abe", 
      "key": "dac-Leon.pdf", 
      "type": "pdf", 
      "size": 225005
    }
  ], 
  "owners": [
    43983
  ], 
  "doi": "10.1145/3316781.3317793", 
  "stats": {
    "version_unique_downloads": 32.0, 
    "unique_views": 60.0, 
    "views": 71.0, 
    "version_views": 71.0, 
    "unique_downloads": 32.0, 
    "version_unique_views": 60.0, 
    "volume": 7425165.0, 
    "version_downloads": 33.0, 
    "downloads": 33.0, 
    "version_volume": 7425165.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1145/3316781.3317793", 
    "latest_html": "https://zenodo.org/record/3472504", 
    "bucket": "https://zenodo.org/api/files/7c1eb102-e455-4d2f-88e8-eddcf23e3abe", 
    "badge": "https://zenodo.org/badge/doi/10.1145/3316781.3317793.svg", 
    "html": "https://zenodo.org/record/3472504", 
    "latest": "https://zenodo.org/api/records/3472504"
  }, 
  "created": "2019-10-04T08:34:30.534047+00:00", 
  "updated": "2020-01-20T16:49:14.340153+00:00", 
  "conceptrecid": "3472503", 
  "revision": 4, 
  "id": 3472504, 
  "metadata": {
    "access_right_category": "success", 
    "embargo_date": "2020-01-01", 
    "doi": "10.1145/3316781.3317793", 
    "description": "<p>Approximate computing appears as an emerging and promising solution for energy-efficient system designs, exploiting the inherent error-tolerant nature of various applications. In this paper, targeting multiplication circuits, i.e., the energy-hungry counterpart of hardware accelerators, an extensive exploration of the error--energy trade-off, when combining arithmetic-level approximation techniques, is performed for the first time. Arithmetic-aware approximations deliver significant energy reductions, while allowing to control the error values with discipline by setting accordingly a configuration parameter. Inspired from the promising results of prior works with one configuration parameter, we propose 5 hybrid design families for approximate and energy-friendly hardware multipliers, consisting of two independent parameters to tune the approximation levels. Interestingly, the resolution of the state-of-the-art Pareto diagram is improved, giving the flexibility to achieve better energy gains for a specific error constraint imposed by the system. Moreover, we outperform prior works in the field of approximate multipliers by up to 60% energy reduction, and thus, we define the new Pareto front.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3472503"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3472504"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "780572", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::780572"
        }, 
        "title": "Software Development toolKit for Energy optimization and technical Debt elimination", 
        "acronym": "SDK4ED", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }, 
      {
        "code": "801015", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::801015"
        }, 
        "title": "Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems", 
        "acronym": "EXA2PRO", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "publication_date": "2019-07-01", 
    "creators": [
      {
        "affiliation": "National Technical University of Athens, Greece", 
        "name": "Leon, Vasileios"
      }, 
      {
        "affiliation": "National Technical University of Athens, Greece", 
        "name": "Asimakopoulos, Konstantinos"
      }, 
      {
        "affiliation": "National Technical University of Athens, Greece", 
        "name": "Xydis, Sotirios"
      }, 
      {
        "affiliation": "National Technical University of Athens, Greece", 
        "name": "Soudris, Dimitrios"
      }, 
      {
        "affiliation": "National Technical University of Athens, Greece", 
        "name": "Pekmestzi, Kiamal"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }
  }
}