Methodology for Refinement and Optimisation of Dynamic Memory Management for Embedded Systems in Multimedia Applications View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-07

AUTHORS

Marc Leeman, David Atienza, Geert Deconinck, Vincenzo De Florio, José M. Mendías, Chantal Ykman-Couvreur, Francky Catthoor, Rudy Lauwereins

ABSTRACT

In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimise the memory management of typical multimedia applications in an extensively used 3D reconstruction image system [1, 2]. This methodology is based on an analysis of the number of memory accesses, normalised memory footprint1 and energy estimations for the system studied. This results in an improvement of normalised memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimised version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimised version is unable to do this. More... »

PAGES

383-396

References to SciGraph publications

  • 2003. Power Estimation Approach of Dynamic Data Storage on a Hardware Software Boundary Level in INTEGRATED CIRCUIT AND SYSTEM DESIGN. POWER AND TIMING MODELING, OPTIMIZATION AND SIMULATION
  • 1998. Metric 3D Surface Reconstruction from Uncalibrated Image Sequences in 3D STRUCTURE FROM MULTIPLE IMAGES OF LARGE-SCALE ENVIRONMENTS
  • 1995. Dynamic storage allocation: A survey and critical review in MEMORY MANAGEMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11265-005-5272-4

    DOI

    http://dx.doi.org/10.1007/s11265-005-5272-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1050508165


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Leeman", 
            "givenName": "Marc", 
            "id": "sg:person.011255130432.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011255130432.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "DACYA/UCM, Avda. Complutense s/n, 28040, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Atienza", 
            "givenName": "David", 
            "id": "sg:person.07561642744.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561642744.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deconinck", 
            "givenName": "Geert", 
            "id": "sg:person.01022745130.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022745130.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "De Florio", 
            "givenName": "Vincenzo", 
            "id": "sg:person.013423720733.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013423720733.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "DACYA/UCM, Avda. Complutense s/n, 28040, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mend\u00edas", 
            "givenName": "Jos\u00e9 M.", 
            "id": "sg:person.011716056275.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011716056275.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Interuniversity Microelectronics Centre", 
              "id": "https://www.grid.ac/institutes/grid.15762.37", 
              "name": [
                "IMEC vzw, Kapeldreef 71, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ykman-Couvreur", 
            "givenName": "Chantal", 
            "id": "sg:person.011323243632.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323243632.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Interuniversity Microelectronics Centre", 
              "id": "https://www.grid.ac/institutes/grid.15762.37", 
              "name": [
                "IMEC vzw, Kapeldreef 71, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Catthoor", 
            "givenName": "Francky", 
            "id": "sg:person.014315547402.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014315547402.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Interuniversity Microelectronics Centre", 
              "id": "https://www.grid.ac/institutes/grid.15762.37", 
              "name": [
                "IMEC vzw, Kapeldreef 71, B-3001, Leuven, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lauwereins", 
            "givenName": "Rudy", 
            "id": "sg:person.015212207733.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015212207733.37"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-540-39762-5_35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004570999", 
              "https://doi.org/10.1007/978-3-540-39762-5_35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-39762-5_35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004570999", 
              "https://doi.org/10.1007/978-3-540-39762-5_35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/378239.379033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010981434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-49437-5_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019420523", 
              "https://doi.org/10.1007/3-540-49437-5_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/378795.378821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027962995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/286860.286864", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032163789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/371254.371262", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037244395"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-60368-9_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043080105", 
              "https://doi.org/10.1007/3-540-60368-9_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/301618.301633", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050761407"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/43.759067", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061174009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/92.335012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061248249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tc.2003.1159754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061533777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/lpe.2002.146714", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093255255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icme.2003.1221556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093574612"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/isss.1996.565886", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094738584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/lpd.1999.750419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095132639"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5244/c.2.23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099320318"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2005-07", 
        "datePublishedReg": "2005-07-01", 
        "description": "In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimise the memory management of typical multimedia applications in an extensively used 3D reconstruction image system [1, 2]. This methodology is based on an analysis of the number of memory accesses, normalised memory footprint1 and energy estimations for the system studied. This results in an improvement of normalised memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimised version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimised version is unable to do this.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11265-005-5272-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1297359", 
            "issn": [
              "0922-5773", 
              "1939-8115"
            ], 
            "name": "Journal of Signal Processing Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "40"
          }
        ], 
        "name": "Methodology for Refinement and Optimisation of Dynamic Memory Management for Embedded Systems in Multimedia Applications", 
        "pagination": "383-396", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f09adcb094b6f0a6bcd175ab7b7b75f8ab06d5fc0f0cf31b0dd80722185de6ec"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11265-005-5272-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1050508165"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11265-005-5272-4", 
          "https://app.dimensions.ai/details/publication/pub.1050508165"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T17:34", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000524.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs11265-005-5272-4"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11265-005-5272-4'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11265-005-5272-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11265-005-5272-4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11265-005-5272-4'


     

    This table displays all metadata directly associated to this object as RDF triples.

    171 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11265-005-5272-4 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N1771f5f5d7bc4c71baf0496dfec9b79c
    4 schema:citation sg:pub.10.1007/3-540-49437-5_10
    5 sg:pub.10.1007/3-540-60368-9_19
    6 sg:pub.10.1007/978-3-540-39762-5_35
    7 https://doi.org/10.1109/43.759067
    8 https://doi.org/10.1109/92.335012
    9 https://doi.org/10.1109/icme.2003.1221556
    10 https://doi.org/10.1109/isss.1996.565886
    11 https://doi.org/10.1109/lpd.1999.750419
    12 https://doi.org/10.1109/lpe.2002.146714
    13 https://doi.org/10.1109/tc.2003.1159754
    14 https://doi.org/10.1145/286860.286864
    15 https://doi.org/10.1145/301618.301633
    16 https://doi.org/10.1145/371254.371262
    17 https://doi.org/10.1145/378239.379033
    18 https://doi.org/10.1145/378795.378821
    19 https://doi.org/10.5244/c.2.23
    20 schema:datePublished 2005-07
    21 schema:datePublishedReg 2005-07-01
    22 schema:description In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimise the memory management of typical multimedia applications in an extensively used 3D reconstruction image system [1, 2]. This methodology is based on an analysis of the number of memory accesses, normalised memory footprint1 and energy estimations for the system studied. This results in an improvement of normalised memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimised version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimised version is unable to do this.
    23 schema:genre research_article
    24 schema:inLanguage en
    25 schema:isAccessibleForFree true
    26 schema:isPartOf N563082e0f6664225b91bdfe6ef0987c1
    27 N83e9928ac9844e548919daae8d5392f6
    28 sg:journal.1297359
    29 schema:name Methodology for Refinement and Optimisation of Dynamic Memory Management for Embedded Systems in Multimedia Applications
    30 schema:pagination 383-396
    31 schema:productId N1ac560a3cb97448b95fed9b0a8571669
    32 N81874f79b98b4cc483484fabd8eb132b
    33 Ne1cf1128da36406ca87cf621c4fdb07a
    34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050508165
    35 https://doi.org/10.1007/s11265-005-5272-4
    36 schema:sdDatePublished 2019-04-10T17:34
    37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    38 schema:sdPublisher N22c24c8c1c184c70ab1f26e9f035ecd8
    39 schema:url http://link.springer.com/10.1007%2Fs11265-005-5272-4
    40 sgo:license sg:explorer/license/
    41 sgo:sdDataset articles
    42 rdf:type schema:ScholarlyArticle
    43 N034a34261fa540ee8292c4c56831586a rdf:first sg:person.01022745130.75
    44 rdf:rest N4044989d50944da9bc45dcfab70daacc
    45 N1771f5f5d7bc4c71baf0496dfec9b79c rdf:first sg:person.011255130432.53
    46 rdf:rest N1ed19a48ad18470196f9fdaf799566fb
    47 N1ac560a3cb97448b95fed9b0a8571669 schema:name dimensions_id
    48 schema:value pub.1050508165
    49 rdf:type schema:PropertyValue
    50 N1b9b153fa80e45a9bbdaac4b72f1de0f schema:name ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium
    51 rdf:type schema:Organization
    52 N1ed19a48ad18470196f9fdaf799566fb rdf:first sg:person.07561642744.66
    53 rdf:rest N034a34261fa540ee8292c4c56831586a
    54 N22c24c8c1c184c70ab1f26e9f035ecd8 schema:name Springer Nature - SN SciGraph project
    55 rdf:type schema:Organization
    56 N3e0d097494834563a6fc8966cc8598c0 rdf:first sg:person.014315547402.83
    57 rdf:rest Nfb32d09533bb4261ba934eb09ee89102
    58 N4044989d50944da9bc45dcfab70daacc rdf:first sg:person.013423720733.02
    59 rdf:rest Nd53691bc48b04062a99c655e5818410d
    60 N508876a5f751431a8cad055094695657 schema:name DACYA/UCM, Avda. Complutense s/n, 28040, Madrid, Spain
    61 rdf:type schema:Organization
    62 N563082e0f6664225b91bdfe6ef0987c1 schema:volumeNumber 40
    63 rdf:type schema:PublicationVolume
    64 N5d75db2dbdd84d7b9ab5f8c547466dd6 schema:name DACYA/UCM, Avda. Complutense s/n, 28040, Madrid, Spain
    65 rdf:type schema:Organization
    66 N605f304284514f69bc5a271ccbd034b7 rdf:first sg:person.011323243632.80
    67 rdf:rest N3e0d097494834563a6fc8966cc8598c0
    68 N81874f79b98b4cc483484fabd8eb132b schema:name doi
    69 schema:value 10.1007/s11265-005-5272-4
    70 rdf:type schema:PropertyValue
    71 N83e9928ac9844e548919daae8d5392f6 schema:issueNumber 3
    72 rdf:type schema:PublicationIssue
    73 Nb469c6c4b5ed4fd8836698ba80879440 schema:name ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium
    74 rdf:type schema:Organization
    75 Nd53691bc48b04062a99c655e5818410d rdf:first sg:person.011716056275.96
    76 rdf:rest N605f304284514f69bc5a271ccbd034b7
    77 Ne1cf1128da36406ca87cf621c4fdb07a schema:name readcube_id
    78 schema:value f09adcb094b6f0a6bcd175ab7b7b75f8ab06d5fc0f0cf31b0dd80722185de6ec
    79 rdf:type schema:PropertyValue
    80 Nfa248294f93c4c79ab17ca9137a28da6 schema:name ESAT/K.U. Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium
    81 rdf:type schema:Organization
    82 Nfb32d09533bb4261ba934eb09ee89102 rdf:first sg:person.015212207733.37
    83 rdf:rest rdf:nil
    84 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    85 schema:name Information and Computing Sciences
    86 rdf:type schema:DefinedTerm
    87 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Artificial Intelligence and Image Processing
    89 rdf:type schema:DefinedTerm
    90 sg:journal.1297359 schema:issn 0922-5773
    91 1939-8115
    92 schema:name Journal of Signal Processing Systems
    93 rdf:type schema:Periodical
    94 sg:person.01022745130.75 schema:affiliation N1b9b153fa80e45a9bbdaac4b72f1de0f
    95 schema:familyName Deconinck
    96 schema:givenName Geert
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022745130.75
    98 rdf:type schema:Person
    99 sg:person.011255130432.53 schema:affiliation Nfa248294f93c4c79ab17ca9137a28da6
    100 schema:familyName Leeman
    101 schema:givenName Marc
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011255130432.53
    103 rdf:type schema:Person
    104 sg:person.011323243632.80 schema:affiliation https://www.grid.ac/institutes/grid.15762.37
    105 schema:familyName Ykman-Couvreur
    106 schema:givenName Chantal
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011323243632.80
    108 rdf:type schema:Person
    109 sg:person.011716056275.96 schema:affiliation N5d75db2dbdd84d7b9ab5f8c547466dd6
    110 schema:familyName Mendías
    111 schema:givenName José M.
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011716056275.96
    113 rdf:type schema:Person
    114 sg:person.013423720733.02 schema:affiliation Nb469c6c4b5ed4fd8836698ba80879440
    115 schema:familyName De Florio
    116 schema:givenName Vincenzo
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013423720733.02
    118 rdf:type schema:Person
    119 sg:person.014315547402.83 schema:affiliation https://www.grid.ac/institutes/grid.15762.37
    120 schema:familyName Catthoor
    121 schema:givenName Francky
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014315547402.83
    123 rdf:type schema:Person
    124 sg:person.015212207733.37 schema:affiliation https://www.grid.ac/institutes/grid.15762.37
    125 schema:familyName Lauwereins
    126 schema:givenName Rudy
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015212207733.37
    128 rdf:type schema:Person
    129 sg:person.07561642744.66 schema:affiliation N508876a5f751431a8cad055094695657
    130 schema:familyName Atienza
    131 schema:givenName David
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561642744.66
    133 rdf:type schema:Person
    134 sg:pub.10.1007/3-540-49437-5_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019420523
    135 https://doi.org/10.1007/3-540-49437-5_10
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/3-540-60368-9_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043080105
    138 https://doi.org/10.1007/3-540-60368-9_19
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/978-3-540-39762-5_35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004570999
    141 https://doi.org/10.1007/978-3-540-39762-5_35
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1109/43.759067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061174009
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1109/92.335012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248249
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1109/icme.2003.1221556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093574612
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1109/isss.1996.565886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094738584
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1109/lpd.1999.750419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095132639
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1109/lpe.2002.146714 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093255255
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1109/tc.2003.1159754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061533777
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1145/286860.286864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032163789
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1145/301618.301633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050761407
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1145/371254.371262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037244395
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1145/378239.379033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010981434
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1145/378795.378821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027962995
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.5244/c.2.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099320318
    168 rdf:type schema:CreativeWork
    169 https://www.grid.ac/institutes/grid.15762.37 schema:alternateName Interuniversity Microelectronics Centre
    170 schema:name IMEC vzw, Kapeldreef 71, B-3001, Leuven, Belgium
    171 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...