{"id":"https://openalex.org/W4319941915","doi":"https://doi.org/10.1145/3578178.3578239","title":"A Case Study on DaCe Portability &amp; Performance for Batched Discrete Fourier Transforms","display_name":"A Case Study on DaCe Portability &amp; Performance for Batched Discrete Fourier Transforms","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4319941915","doi":"https://doi.org/10.1145/3578178.3578239"},"language":"en","primary_location":{"id":"doi:10.1145/3578178.3578239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578239","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055982549","display_name":"M\u00e5ns I. Andersson","orcid":"https://orcid.org/0000-0002-6384-2630"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M\u00e5ns Ivar Andersson","raw_affiliation_strings":["KTH Royal Institute of Technology, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-6384-2630","affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085178088","display_name":"Stefano Markidis","orcid":"https://orcid.org/0000-0003-0639-0639"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Stefano Markidis","raw_affiliation_strings":["KTH Royal Institute of Technology, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-0639-0639","affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.9171754121780396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7938024997711182},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.699489176273346},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.5851529836654663},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5429877638816833},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5105293989181519},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4466872811317444},{"id":"https://openalex.org/keywords/stateful-firewall","display_name":"Stateful firewall","score":0.44525861740112305},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41787824034690857},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.41731321811676025},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3739425837993622},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32148391008377075},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.314353883266449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2744131088256836},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22309443354606628},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.1777149736881256}],"concepts":[{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.9171754121780396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938024997711182},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.699489176273346},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.5851529836654663},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5429877638816833},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5105293989181519},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4466872811317444},{"id":"https://openalex.org/C22927095","wikidata":"https://www.wikidata.org/wiki/Q1784206","display_name":"Stateful firewall","level":3,"score":0.44525861740112305},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41787824034690857},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.41731321811676025},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3739425837993622},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32148391008377075},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.314353883266449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2744131088256836},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22309443354606628},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.1777149736881256},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578178.3578239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3578178.3578239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G106760670","display_name":"DEEP \u2013 SOFTWARE FOR EXASCALE ARCHITECTURES","funder_award_id":"955606","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1364868472","display_name":null,"funder_award_id":"2018-05973","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G3321450376","display_name":null,"funder_award_id":"05973","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G712881263","display_name":null,"funder_award_id":"2018-","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4319941915.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1866830630","https://openalex.org/W1990090459","https://openalex.org/W2030201370","https://openalex.org/W2102182691","https://openalex.org/W2134572726","https://openalex.org/W2164197394","https://openalex.org/W2506485539","https://openalex.org/W2606722458","https://openalex.org/W2613618711","https://openalex.org/W2622428623","https://openalex.org/W2737067755","https://openalex.org/W2765377629","https://openalex.org/W2898195456","https://openalex.org/W2912012512","https://openalex.org/W2987684178","https://openalex.org/W2988055859","https://openalex.org/W2994151208","https://openalex.org/W3084619881","https://openalex.org/W3122286897","https://openalex.org/W3196320218","https://openalex.org/W3207945374","https://openalex.org/W4367355863"],"related_works":["https://openalex.org/W2583381754","https://openalex.org/W2144255176","https://openalex.org/W2293118914","https://openalex.org/W2222333653","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W2171015181","https://openalex.org/W2046575037"],"abstract_inverted_index":{"With":[0],"the":[1,68,81,120],"emergence":[2],"of":[3,122],"new":[4],"computer":[5,41,59,130],"architectures,":[6],"portability":[7],"and":[8,22,29,54,63,77,107],"performance-portability":[9],"become":[10],"significant":[11],"concerns":[12],"for":[13,111,124],"developing":[14],"HPC":[15,126],"applications.":[16],"This":[17],"work":[18],"reports":[19],"our":[20],"experience":[21],"lessons":[23],"learned":[24],"using":[25],"DaCe":[26,123],"to":[27],"create":[28],"optimize":[30],"batched":[31,44,69],"Discrete":[32],"Fourier":[33],"Transform":[34],"(DFT)":[35],"calculations":[36],"on":[37,91,128],"different":[38,112,129],"single":[39],"node":[40],"systems.":[42,131],"The":[43],"DFT":[45,70],"calculation":[46],"is":[47,55],"an":[48,97],"essential":[49],"component":[50],"in":[51,58],"FFT":[52],"algorithms":[53],"widely":[56],"used":[57],"science,":[60],"numerical":[61],"analysis,":[62],"signal":[64],"processing.":[65],"We":[66,86,114],"implement":[67],"with":[71,80],"three":[72],"complex-value":[73],"array":[74],"data":[75],"layouts":[76],"compare":[78],"them":[79],"native":[82],"complex":[83],"type":[84],"implementation.":[85],"use":[87],"DaCe,":[88],"which":[89,101],"relies":[90],"Stateful":[92],"DataFlow":[93],"multiGraphs":[94],"(SDFG)":[95],"as":[96],"intermediate":[98],"representation":[99],"(IR)":[100],"can":[102],"be":[103],"optimized":[104],"through":[105],"transforms":[106],"then":[108],"generates":[109],"code":[110],"architectures.":[113],"present":[115],"several":[116],"performance":[117],"results":[118],"showcasing":[119],"potential":[121],"expressing":[125],"applications":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}
