Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-12

AUTHORS

Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verdoolaege, Martin Palkovic, Arnout Vandecappelle, Qubo Hu, Einar J. Aas

ABSTRACT

Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array elements in these loop nests has huge impact on the amount of memory required during execution. This is essential since the size and complexity of the memory hierarchy is the dominating factor for power, performance and chip size in these applications. This paper presents a number of guiding principles for the ordering of the dimensions in the loop nests. They enable the designer, or design tools, to find the optimal ordering of loop nest dimensions for individual data dependencies in the code. We prove the validity of the guiding principles when no prior restrictions are given regarding fixation of dimensions. If some dimensions are already fixed at given nest levels, this is taken into account when fixing the remaining dimensions. In most cases an optimal ordering is found for this situation as well. The guiding principles can be used in the early design phases in order to enable minimization of the memory requirement through in-place mapping. We use real life examples to show how they can be applied to reach a cost optimized end product. The results show orders of magnitude improvement in memory requirement compared to using the declared array sizes, and similar penalties for choosing the suboptimal ordering of loops when in-place mapping is exploited. More... »

PAGES

301-321

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11265-008-0178-6

DOI

http://dx.doi.org/10.1007/s11265-008-0178-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042512946


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/2008/0906", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Electrical and Electronic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Norwegian University of Science and Technology, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kjeldsberg", 
        "givenName": "Per Gunnar", 
        "id": "sg:person.011403325616.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011403325616.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "KU Leuven", 
          "id": "https://www.grid.ac/institutes/grid.5596.f", 
          "name": [
            "IMEC, Leuven, Belgium", 
            "Katholieke Universiteit Leuven, 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": "KU Leuven", 
          "id": "https://www.grid.ac/institutes/grid.5596.f", 
          "name": [
            "Katholieke Universiteit Leuven, Leuven, Belgium", 
            "Leiden Institute of Advanced Computer Science, Leiden, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Verdoolaege", 
        "givenName": "Sven", 
        "id": "sg:person.013114401423.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013114401423.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Interuniversity Microelectronics Centre", 
          "id": "https://www.grid.ac/institutes/grid.15762.37", 
          "name": [
            "IMEC, Leuven, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palkovic", 
        "givenName": "Martin", 
        "id": "sg:person.016677375531.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016677375531.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Interuniversity Microelectronics Centre", 
          "id": "https://www.grid.ac/institutes/grid.15762.37", 
          "name": [
            "IMEC, Leuven, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vandecappelle", 
        "givenName": "Arnout", 
        "id": "sg:person.016224623765.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016224623765.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Norwegian University of Science and Technology, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Qubo", 
        "id": "sg:person.012160502263.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012160502263.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Norwegian University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.5947.f", 
          "name": [
            "Norwegian University of Science and Technology, Trondheim, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aas", 
        "givenName": "Einar J.", 
        "id": "sg:person.014574525503.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014574525503.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1145/309847.310074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000996501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/365151.365152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005415956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/37888.37920", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005700355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1118299.1118442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008354015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008069920230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011827314", 
          "https://doi.org/10.1023/a:1008069920230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11575467_22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012048844", 
          "https://doi.org/10.1007/11575467_22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11575467_22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012048844", 
          "https://doi.org/10.1007/11575467_22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8191(97)00089-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013856060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-57659-2_31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014539128", 
          "https://doi.org/10.1007/3-540-57659-2_31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4684-6894-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016219788", 
          "https://doi.org/10.1007/978-1-4684-6894-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4684-6894-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016219788", 
          "https://doi.org/10.1007/978-1-4684-6894-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/233561.233564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017991601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1018192392", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-4903-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018192392", 
          "https://doi.org/10.1007/978-1-4757-4903-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-4903-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018192392", 
          "https://doi.org/10.1007/978-1-4757-4903-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0002757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021980001", 
          "https://doi.org/10.1007/bfb0002757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/127601.127609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024611642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/196244.196313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029361670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/378239.378523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039958018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/989995.989996", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040559479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/502874.502897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040888664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/143369.143427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044173851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11556930_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052860189", 
          "https://doi.org/10.1007/11556930_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11556930_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052860189", 
          "https://doi.org/10.1007/11556930_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/12.508321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061088376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/43.31522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061173037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/43.739054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061173948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/43.784123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061174085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/71.97902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061218164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/92.386218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061248272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/92.736124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061248454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tc.2005.167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061534107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcad.1986.1270207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061536548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcad.2003.814257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061536887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcad.2003.822123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061536981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvlsi.2007.895246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061815557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0613061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062850412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ipccc.2001.918645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093345192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hsc.1998.666252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094480096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccad.1994.629763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094678620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/asap.2003.1212826", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094907144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/dac.2001.935536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098757864"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-12", 
    "datePublishedReg": "2008-12-01", 
    "description": "Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array elements in these loop nests has huge impact on the amount of memory required during execution. This is essential since the size and complexity of the memory hierarchy is the dominating factor for power, performance and chip size in these applications. This paper presents a number of guiding principles for the ordering of the dimensions in the loop nests. They enable the designer, or design tools, to find the optimal ordering of loop nest dimensions for individual data dependencies in the code. We prove the validity of the guiding principles when no prior restrictions are given regarding fixation of dimensions. If some dimensions are already fixed at given nest levels, this is taken into account when fixing the remaining dimensions. In most cases an optimal ordering is found for this situation as well. The guiding principles can be used in the early design phases in order to enable minimization of the memory requirement through in-place mapping. We use real life examples to show how they can be applied to reach a cost optimized end product. The results show orders of magnitude improvement in memory requirement compared to using the declared array sizes, and similar penalties for choosing the suboptimal ordering of loops when in-place mapping is exploited.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11265-008-0178-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "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": "53"
      }
    ], 
    "name": "Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications", 
    "pagination": "301-321", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ca81f10876aaa4bc0fdb18b299e3258be5e2e990b0622b910467ce3b8e6bc67b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11265-008-0178-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042512946"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11265-008-0178-6", 
      "https://app.dimensions.ai/details/publication/pub.1042512946"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:49", 
    "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_8684_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11265-008-0178-6"
  }
]
 

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/s11265-008-0178-6'

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/s11265-008-0178-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11265-008-0178-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11265-008-0178-6'


 

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

231 TRIPLES      21 PREDICATES      65 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11265-008-0178-6 schema:about anzsrc-for:09
2 anzsrc-for:0906
3 schema:author Nd75ead562dab4725bc97c32f256120fe
4 schema:citation sg:pub.10.1007/11556930_10
5 sg:pub.10.1007/11575467_22
6 sg:pub.10.1007/3-540-57659-2_31
7 sg:pub.10.1007/978-1-4684-6894-6
8 sg:pub.10.1007/978-1-4757-4903-8
9 sg:pub.10.1007/bfb0002757
10 sg:pub.10.1023/a:1008069920230
11 https://app.dimensions.ai/details/publication/pub.1018192392
12 https://doi.org/10.1016/s0167-8191(97)00089-6
13 https://doi.org/10.1109/12.508321
14 https://doi.org/10.1109/43.31522
15 https://doi.org/10.1109/43.739054
16 https://doi.org/10.1109/43.784123
17 https://doi.org/10.1109/71.97902
18 https://doi.org/10.1109/92.386218
19 https://doi.org/10.1109/92.736124
20 https://doi.org/10.1109/asap.2003.1212826
21 https://doi.org/10.1109/dac.2001.935536
22 https://doi.org/10.1109/hsc.1998.666252
23 https://doi.org/10.1109/iccad.1994.629763
24 https://doi.org/10.1109/ipccc.2001.918645
25 https://doi.org/10.1109/tc.2005.167
26 https://doi.org/10.1109/tcad.1986.1270207
27 https://doi.org/10.1109/tcad.2003.814257
28 https://doi.org/10.1109/tcad.2003.822123
29 https://doi.org/10.1109/tvlsi.2007.895246
30 https://doi.org/10.1137/0613061
31 https://doi.org/10.1145/1118299.1118442
32 https://doi.org/10.1145/127601.127609
33 https://doi.org/10.1145/143369.143427
34 https://doi.org/10.1145/196244.196313
35 https://doi.org/10.1145/233561.233564
36 https://doi.org/10.1145/309847.310074
37 https://doi.org/10.1145/365151.365152
38 https://doi.org/10.1145/378239.378523
39 https://doi.org/10.1145/37888.37920
40 https://doi.org/10.1145/502874.502897
41 https://doi.org/10.1145/989995.989996
42 schema:datePublished 2008-12
43 schema:datePublishedReg 2008-12-01
44 schema:description Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array elements in these loop nests has huge impact on the amount of memory required during execution. This is essential since the size and complexity of the memory hierarchy is the dominating factor for power, performance and chip size in these applications. This paper presents a number of guiding principles for the ordering of the dimensions in the loop nests. They enable the designer, or design tools, to find the optimal ordering of loop nest dimensions for individual data dependencies in the code. We prove the validity of the guiding principles when no prior restrictions are given regarding fixation of dimensions. If some dimensions are already fixed at given nest levels, this is taken into account when fixing the remaining dimensions. In most cases an optimal ordering is found for this situation as well. The guiding principles can be used in the early design phases in order to enable minimization of the memory requirement through in-place mapping. We use real life examples to show how they can be applied to reach a cost optimized end product. The results show orders of magnitude improvement in memory requirement compared to using the declared array sizes, and similar penalties for choosing the suboptimal ordering of loops when in-place mapping is exploited.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf Ncd11fbd2511249919cee5abc4e0f5a4b
49 Nde01351e2d304b10bbe337c3d3a4c0dc
50 sg:journal.1297359
51 schema:name Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications
52 schema:pagination 301-321
53 schema:productId N0c80cef305f240ccaeb7b8aaca02582d
54 N39ae4f566df44ed2b20cc8d3e36b4390
55 Naed9d322012143a49cd9317d699fd7d6
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042512946
57 https://doi.org/10.1007/s11265-008-0178-6
58 schema:sdDatePublished 2019-04-10T20:49
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher N28504b7597c748be81c3facf02701d46
61 schema:url http://link.springer.com/10.1007%2Fs11265-008-0178-6
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N0c80cef305f240ccaeb7b8aaca02582d schema:name dimensions_id
66 schema:value pub.1042512946
67 rdf:type schema:PropertyValue
68 N28504b7597c748be81c3facf02701d46 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N30e0c603c5af4453a4aa20261b17b37d rdf:first sg:person.016224623765.95
71 rdf:rest Na4e9402b02164938a41470e61d775a7f
72 N39ae4f566df44ed2b20cc8d3e36b4390 schema:name readcube_id
73 schema:value ca81f10876aaa4bc0fdb18b299e3258be5e2e990b0622b910467ce3b8e6bc67b
74 rdf:type schema:PropertyValue
75 N62d429bec5b34d069695b7fe9ec0d295 rdf:first sg:person.013114401423.15
76 rdf:rest Nd0803227cf0d4d0496cb84b3cc58f749
77 N918623181f8745e1b492567318385a69 rdf:first sg:person.014315547402.83
78 rdf:rest N62d429bec5b34d069695b7fe9ec0d295
79 Na4e9402b02164938a41470e61d775a7f rdf:first sg:person.012160502263.62
80 rdf:rest Ndcba33bbfd2f4b7f8310325febdeccc5
81 Naed9d322012143a49cd9317d699fd7d6 schema:name doi
82 schema:value 10.1007/s11265-008-0178-6
83 rdf:type schema:PropertyValue
84 Ncd11fbd2511249919cee5abc4e0f5a4b schema:issueNumber 3
85 rdf:type schema:PublicationIssue
86 Nd0803227cf0d4d0496cb84b3cc58f749 rdf:first sg:person.016677375531.08
87 rdf:rest N30e0c603c5af4453a4aa20261b17b37d
88 Nd75ead562dab4725bc97c32f256120fe rdf:first sg:person.011403325616.51
89 rdf:rest N918623181f8745e1b492567318385a69
90 Ndcba33bbfd2f4b7f8310325febdeccc5 rdf:first sg:person.014574525503.59
91 rdf:rest rdf:nil
92 Nde01351e2d304b10bbe337c3d3a4c0dc schema:volumeNumber 53
93 rdf:type schema:PublicationVolume
94 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
95 schema:name Engineering
96 rdf:type schema:DefinedTerm
97 anzsrc-for:0906 schema:inDefinedTermSet anzsrc-for:
98 schema:name Electrical and Electronic Engineering
99 rdf:type schema:DefinedTerm
100 sg:journal.1297359 schema:issn 0922-5773
101 1939-8115
102 schema:name Journal of Signal Processing Systems
103 rdf:type schema:Periodical
104 sg:person.011403325616.51 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
105 schema:familyName Kjeldsberg
106 schema:givenName Per Gunnar
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011403325616.51
108 rdf:type schema:Person
109 sg:person.012160502263.62 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
110 schema:familyName Hu
111 schema:givenName Qubo
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012160502263.62
113 rdf:type schema:Person
114 sg:person.013114401423.15 schema:affiliation https://www.grid.ac/institutes/grid.5596.f
115 schema:familyName Verdoolaege
116 schema:givenName Sven
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013114401423.15
118 rdf:type schema:Person
119 sg:person.014315547402.83 schema:affiliation https://www.grid.ac/institutes/grid.5596.f
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.014574525503.59 schema:affiliation https://www.grid.ac/institutes/grid.5947.f
125 schema:familyName Aas
126 schema:givenName Einar J.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014574525503.59
128 rdf:type schema:Person
129 sg:person.016224623765.95 schema:affiliation https://www.grid.ac/institutes/grid.15762.37
130 schema:familyName Vandecappelle
131 schema:givenName Arnout
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016224623765.95
133 rdf:type schema:Person
134 sg:person.016677375531.08 schema:affiliation https://www.grid.ac/institutes/grid.15762.37
135 schema:familyName Palkovic
136 schema:givenName Martin
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016677375531.08
138 rdf:type schema:Person
139 sg:pub.10.1007/11556930_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052860189
140 https://doi.org/10.1007/11556930_10
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/11575467_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012048844
143 https://doi.org/10.1007/11575467_22
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/3-540-57659-2_31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014539128
146 https://doi.org/10.1007/3-540-57659-2_31
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/978-1-4684-6894-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016219788
149 https://doi.org/10.1007/978-1-4684-6894-6
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/978-1-4757-4903-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018192392
152 https://doi.org/10.1007/978-1-4757-4903-8
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/bfb0002757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021980001
155 https://doi.org/10.1007/bfb0002757
156 rdf:type schema:CreativeWork
157 sg:pub.10.1023/a:1008069920230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011827314
158 https://doi.org/10.1023/a:1008069920230
159 rdf:type schema:CreativeWork
160 https://app.dimensions.ai/details/publication/pub.1018192392 schema:CreativeWork
161 https://doi.org/10.1016/s0167-8191(97)00089-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013856060
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1109/12.508321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061088376
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1109/43.31522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061173037
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1109/43.739054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061173948
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1109/43.784123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061174085
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1109/71.97902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061218164
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1109/92.386218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248272
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1109/92.736124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248454
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/asap.2003.1212826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094907144
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1109/dac.2001.935536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098757864
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1109/hsc.1998.666252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094480096
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1109/iccad.1994.629763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094678620
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1109/ipccc.2001.918645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093345192
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1109/tc.2005.167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061534107
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1109/tcad.1986.1270207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061536548
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1109/tcad.2003.814257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061536887
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1109/tcad.2003.822123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061536981
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1109/tvlsi.2007.895246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061815557
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1137/0613061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062850412
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1145/1118299.1118442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008354015
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1145/127601.127609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024611642
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1145/143369.143427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044173851
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1145/196244.196313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029361670
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1145/233561.233564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017991601
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1145/309847.310074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000996501
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1145/365151.365152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005415956
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1145/378239.378523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039958018
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1145/37888.37920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005700355
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1145/502874.502897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040888664
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1145/989995.989996 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040559479
220 rdf:type schema:CreativeWork
221 https://www.grid.ac/institutes/grid.15762.37 schema:alternateName Interuniversity Microelectronics Centre
222 schema:name IMEC, Leuven, Belgium
223 rdf:type schema:Organization
224 https://www.grid.ac/institutes/grid.5596.f schema:alternateName KU Leuven
225 schema:name IMEC, Leuven, Belgium
226 Katholieke Universiteit Leuven, Leuven, Belgium
227 Leiden Institute of Advanced Computer Science, Leiden, The Netherlands
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.5947.f schema:alternateName Norwegian University of Science and Technology
230 schema:name Norwegian University of Science and Technology, Trondheim, Norway
231 rdf:type schema:Organization
 




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


...