{"id":"https://openalex.org/W4414787991","doi":"https://doi.org/10.1145/3731599.3767376","title":"FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines","display_name":"FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4414787991","doi":"https://doi.org/10.1145/3731599.3767376"},"language":"en","primary_location":{"id":"doi:10.1145/3731599.3767376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731599.3767376","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3731599.3767376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092849690","display_name":"Skyler Ruiter","orcid":"https://orcid.org/0009-0008-5978-9866"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Skyler Ruiter","raw_affiliation_strings":["Indiana University, Bloomington, USA"],"raw_orcid":"https://orcid.org/0009-0008-5978-9866","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064166827","display_name":"Jiannan Tian","orcid":"https://orcid.org/0000-0003-1101-9148"},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiannan Tian","raw_affiliation_strings":["Oakland University, Rochester, USA"],"raw_orcid":"https://orcid.org/0000-0003-1101-9148","affiliations":[{"raw_affiliation_string":"Oakland University, Rochester, USA","institution_ids":["https://openalex.org/I177721651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032742296","display_name":"Fengguang Song","orcid":"https://orcid.org/0000-0001-7382-093X"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fengguang Song","raw_affiliation_strings":["Indiana University, Bloomington, USA"],"raw_orcid":"https://orcid.org/0000-0001-7382-093X","affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9911999702453613,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9199000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.7056000232696533},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6305999755859375},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6079999804496765},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5372999906539917},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5174999833106995},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.48510000109672546},{"id":"https://openalex.org/keywords/symmetric-multiprocessor-system","display_name":"Symmetric multiprocessor system","score":0.4620000123977661},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4555000066757202},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4544000029563904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016999959945679},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7056000232696533},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6305999755859375},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6079999804496765},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5174999833106995},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C172430144","wikidata":"https://www.wikidata.org/wiki/Q17111997","display_name":"Symmetric multiprocessor system","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4544000029563904},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.30979999899864197},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2547999918460846},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3731599.3767376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731599.3767376","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.20563","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.20563","pdf_url":"https://arxiv.org/pdf/2509.20563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3731599.3767376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731599.3767376","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G799982551","display_name":null,"funder_award_id":"2311876, 2326495, 2247060","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"scientific":[1,115],"simulations":[2],"and":[3,11,26,35,55,94,97],"instruments":[4],"generate":[5],"data":[6,34,89],"volumes":[7],"that":[8,51,87],"overwhelm":[9],"memory":[10,92],"storage,":[12],"throttling":[13],"scalability.":[14],"Lossy":[15],"compression":[16,39,69,104],"mitigates":[17],"this":[18],"by":[19],"trading":[20],"controlled":[21],"error":[22],"for":[23,65,101],"reduced":[24],"footprint":[25],"throughput":[27,45],"gains,":[28],"yet":[29],"optimal":[30],"pipelines":[31,70,108],"are":[32],"highly":[33],"objective":[36],"specific,":[37],"demanding":[38],"expertise.":[40],"GPU":[41,126],"compressors":[42,127],"supply":[43],"raw":[44],"but":[46],"often":[47],"hard\u2011code":[48],"fused":[49],"kernels":[50],"hinder":[52],"rapid":[53],"experimentation,":[54],"underperform":[56],"in":[57],"rate\u2013distortion.":[58],"We":[59,79],"present":[60],"FZModules,":[61],"a":[62,75],"heterogeneous":[63],"framework":[64],"assembling":[66],"error\u2011bounded":[67],"custom":[68],"from":[71],"high\u2011performance":[72],"modules":[73],"through":[74],"concise":[76],"extensible":[77],"interface.":[78],"further":[80],"utilize":[81],"an":[82],"asynchronous":[83,103],"task-backed":[84],"execution":[85],"library":[86],"infers":[88],"dependencies,":[90],"manages":[91],"movement,":[93],"exposes":[95],"branch":[96],"stage":[98],"level":[99],"concurrency":[100],"powerful":[102],"pipelines.":[105],"Evaluating":[106],"three":[107],"built":[109],"with":[110],"FZModules":[111],"on":[112],"four":[113],"representative":[114],"datasets,":[116],"we":[117],"show":[118],"they":[119],"can":[120],"compare":[121],"end\u2011to\u2011end":[122],"speedup":[123],"of":[124],"fused\u2011kernel":[125],"while":[128],"achieving":[129],"similar":[130],"rate\u2013distortion":[131],"to":[132],"higher":[133],"fidelity":[134],"CPU":[135],"or":[136],"hybrid":[137],"compressors,":[138],"enabling":[139],"rapid,":[140],"domain-tailored":[141],"design.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}