{"id":"https://openalex.org/W4412605638","doi":"https://doi.org/10.1109/ipdps64566.2025.00083","title":"Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds","display_name":"Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4412605638","doi":"https://doi.org/10.1109/ipdps64566.2025.00083"},"language":"en","primary_location":{"id":"doi:10.1109/ipdps64566.2025.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps64566.2025.00083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030799776","display_name":"Alex Fallin","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Fallin","raw_affiliation_strings":["Texas State University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University,USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050225747","display_name":"Noushin Azami","orcid":"https://orcid.org/0009-0002-7771-6480"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noushin Azami","raw_affiliation_strings":["Texas State University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University,USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066430343","display_name":"Sheng Di","orcid":"https://orcid.org/0000-0002-7339-5256"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Di","raw_affiliation_strings":["Argonne National Laboratory,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046613458","display_name":"Franck Cappello","orcid":"https://orcid.org/0000-0002-7890-3934"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Franck Cappello","raw_affiliation_strings":["Argonne National Laboratory,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070044504","display_name":"Martin Burtscher","orcid":"https://orcid.org/0000-0002-5232-3632"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Burtscher","raw_affiliation_strings":["Texas State University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University,USA","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"874","last_page":"887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9549999833106995,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/lossy-compression","display_name":"Lossy compression","score":0.8754425048828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884651184082031},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.586486279964447},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5221786499023438},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.46270090341567993},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.43695777654647827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15400561690330505},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1426946222782135},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.059572964906692505}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8754425048828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884651184082031},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.586486279964447},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5221786499023438},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.46270090341567993},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.43695777654647827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15400561690330505},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1426946222782135},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.059572964906692505},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdps64566.2025.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps64566.2025.00083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G4563991289","display_name":null,"funder_award_id":"CSSI/OAC#2311875,CSSI/OAC #2104023","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8264033398","display_name":null,"funder_award_id":"DE-SC0022223,DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1539178001","https://openalex.org/W1777016212","https://openalex.org/W2052440657","https://openalex.org/W2060108852","https://openalex.org/W2072916763","https://openalex.org/W2125634634","https://openalex.org/W2168694323","https://openalex.org/W2486202470","https://openalex.org/W2625759119","https://openalex.org/W2899412261","https://openalex.org/W2912174957","https://openalex.org/W2959531572","https://openalex.org/W2964339011","https://openalex.org/W3043494828","https://openalex.org/W3138054712","https://openalex.org/W3173669904","https://openalex.org/W3174738244","https://openalex.org/W3180329928","https://openalex.org/W3205797155","https://openalex.org/W4226076355","https://openalex.org/W4230804723","https://openalex.org/W4233996382","https://openalex.org/W4367176010","https://openalex.org/W4383749368","https://openalex.org/W4384705348","https://openalex.org/W4388105305","https://openalex.org/W4388692617"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W2385628723","https://openalex.org/W2888954728","https://openalex.org/W2552401318","https://openalex.org/W108076602","https://openalex.org/W3180760233","https://openalex.org/W4384342390","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1033938421"],"abstract_inverted_index":{"High-throughput":[0],"data":[1,17],"compression":[2,40,45,69,114],"is":[3,24,96,116],"increasingly":[4],"important":[5],"for":[6],"large":[7],"scientific":[8],"projects.":[9],"This":[10,95],"paper":[11],"presents":[12],"PFPL,":[13],"a":[14,67,83],"lossy":[15],"floating-point":[16],"compressor":[18],"with":[19],"guaranteed":[20],"error":[21,58],"bounds":[22],"that":[23,119],"fully":[25],"compatible":[26],"between":[27],"CPUs":[28],"and":[29,41,44,50,87],"GPUs.":[30],"Despite":[31],"this":[32],"compatibility,":[33],"PFPL":[34],"delivers":[35],"some":[36],"of":[37,60,75,105,120],"the":[38,72,103],"highest":[39],"decompression":[42],"speeds":[43],"ratios":[46],"on":[47,71,82,90,109],"both":[48,110],"single-":[49],"double-precision":[51],"data.":[52],"For":[53],"example,":[54],"using":[55],"an":[56,91],"absolute":[57],"bound":[59],"<tex":[61,76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$1":[63],"\\mathrm{E}-3$</tex>,":[64],"it":[65],"yields":[66],"single-precision":[68],"throughput":[70,104],"SDRBench":[73],"inputs":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$5":[78],"\\text{GB}":[79],"/":[80],"\\mathrm{s}$</tex>":[81],"Ryzen":[84],"2950X":[85],"CPU":[86],"423":[88],"GB/s":[89],"RTX":[92],"4090":[93],"GPU.":[94],"at":[97],"least":[98],"4.6":[99],"times":[100],"higher":[101,117],"than":[102,118],"seven":[106],"leading":[107],"compressors":[108],"devices.":[111],"Moreover,":[112],"PFPL's":[113],"ratio":[115],"all":[121],"tested":[122],"GPU":[123],"codes.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
