{"id":"https://openalex.org/W4416155376","doi":"https://doi.org/10.1145/3712285.3759814","title":"lsCOMP: Efficient Light Source Compression","display_name":"lsCOMP: Efficient Light Source Compression","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416155376","doi":"https://doi.org/10.1145/3712285.3759814"},"language":null,"primary_location":{"id":"doi:10.1145/3712285.3759814","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759814","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 International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3712285.3759814","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074539156","display_name":"Yafan Huang","orcid":"https://orcid.org/0000-0001-7370-6766"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yafan Huang","raw_affiliation_strings":["University of Iowa, Iowa City, USA"],"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"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 (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056940311","display_name":"Robert Underwood","orcid":"https://orcid.org/0000-0002-1464-729X"},"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":"Robert Underwood","raw_affiliation_strings":["Argonne National Laboratory (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061216195","display_name":"Peco Myint","orcid":"https://orcid.org/0000-0002-7807-7775"},"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":"Peco Myint","raw_affiliation_strings":["Argonne National Laboratory (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001757245","display_name":"Miaoqi Chu","orcid":"https://orcid.org/0000-0002-6465-1529"},"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":"Miaoqi Chu","raw_affiliation_strings":["Argonne National Laboratory (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025726299","display_name":"Guanpeng Li","orcid":"https://orcid.org/0000-0001-7773-7826"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guanpeng Li","raw_affiliation_strings":["University of Florida, Gainesville, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049135282","display_name":"Nicholas Schwarz","orcid":"https://orcid.org/0009-0009-1535-3056"},"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":"Nicholas Schwarz","raw_affiliation_strings":["Argonne National Laboratory (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","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 (ANL), Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory (ANL), Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5074539156"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":4.5405,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95116861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2006","last_page":"2023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.48570001125335693,"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":0.48570001125335693,"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":0.1914999932050705,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.07620000094175339,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9023000001907349},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.9006999731063843},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6826000213623047},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5358999967575073},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5321000218391418},{"id":"https://openalex.org/keywords/gas-compressor","display_name":"Gas compressor","score":0.49000000953674316},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.48510000109672546},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.47760000824928284}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9023000001907349},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9006999731063843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182000279426575},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6826000213623047},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5358999967575073},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5321000218391418},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.49000000953674316},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.48510000109672546},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4068000018596649},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.367000013589859},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.35249999165534973},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.26660001277923584},{"id":"https://openalex.org/C2982854487","wikidata":"https://www.wikidata.org/wiki/Q9128","display_name":"Light source","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712285.3759814","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759814","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 International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3712285.3759814","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759814","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 International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1497579271","https://openalex.org/W1662091909","https://openalex.org/W1966180432","https://openalex.org/W1971773700","https://openalex.org/W1999472755","https://openalex.org/W2002182716","https://openalex.org/W2009897852","https://openalex.org/W2021545754","https://openalex.org/W2049097261","https://openalex.org/W2049440937","https://openalex.org/W2052440657","https://openalex.org/W2062939840","https://openalex.org/W2075830855","https://openalex.org/W2078841639","https://openalex.org/W2084363526","https://openalex.org/W2097383592","https://openalex.org/W2125634634","https://openalex.org/W2128097154","https://openalex.org/W2159636613","https://openalex.org/W2272092143","https://openalex.org/W2303422468","https://openalex.org/W2486202470","https://openalex.org/W2625759119","https://openalex.org/W2898488016","https://openalex.org/W2912174957","https://openalex.org/W2942879796","https://openalex.org/W2959236235","https://openalex.org/W2959531572","https://openalex.org/W2999752146","https://openalex.org/W3022727181","https://openalex.org/W3043494828","https://openalex.org/W3045767285","https://openalex.org/W3088032529","https://openalex.org/W3110563280","https://openalex.org/W3168997536","https://openalex.org/W3175067038","https://openalex.org/W3176795589","https://openalex.org/W3177292372","https://openalex.org/W3199088027","https://openalex.org/W3210465286","https://openalex.org/W4200408152","https://openalex.org/W4205328864","https://openalex.org/W4230804723","https://openalex.org/W4281678927","https://openalex.org/W4283394632","https://openalex.org/W4289533799","https://openalex.org/W4321185938","https://openalex.org/W4367176010","https://openalex.org/W4384705348","https://openalex.org/W4386471175","https://openalex.org/W4388105305","https://openalex.org/W4388921272","https://openalex.org/W4391537508","https://openalex.org/W4391670931","https://openalex.org/W4396661755","https://openalex.org/W4400917404","https://openalex.org/W4402044651","https://openalex.org/W4402045550","https://openalex.org/W4405755896","https://openalex.org/W4405756077","https://openalex.org/W4410040007","https://openalex.org/W4412605205","https://openalex.org/W4413411750","https://openalex.org/W4416155374"],"related_works":[],"abstract_inverted_index":{"Light":[0],"source":[1,90],"facilities,":[2],"which":[3],"generate":[4],"X-rays":[5],"for":[6],"probing":[7],"microstructures":[8],"and":[9,21,46,75,83,133,145],"dynamic":[10],"processes,":[11],"produce":[12],"intense":[13],"data":[14,36,51,85],"streams,":[15],"reaching":[16],"up":[17,111],"to":[18,23,41,52,104,112],"250":[19],"GB/s":[20,106],"projected":[22],"exceed":[24],"1":[25],"TB/s":[26],"by":[27],"the":[28],"end":[29],"of":[30,102],"this":[31],"decade.":[32],"Managing":[33],"such":[34],"massive":[35],"poses":[37],"critical":[38],"challenges":[39],"due":[40],"limited":[42],"local":[43],"processing":[44],"capacity":[45],"bandwidth":[47],"constraints":[48],"when":[49],"offloading":[50],"HPC":[53],"systems.":[54],"To":[55],"address":[56],"these":[57],"challenges,":[58],"we":[59],"propose":[60],"lsCOMP,":[61],"a":[62,68,93],"GPU":[63,119],"compressor":[64],"that":[65],"operates":[66],"within":[67],"single":[69,94],"kernel.":[70],"lsCOMP":[71,98,129,137],"supports":[72,146],"both":[73],"lossless":[74,108],"configurable":[76],"lossy":[77,127],"compression,":[78],"ensuring":[79],"high":[80],"compression":[81,100,124],"ratios":[82,134],"preserved":[84],"quality":[86],"across":[87,141],"diverse":[88],"light":[89],"applications.":[91],"On":[92],"NVIDIA":[95],"A100":[96],"GPU,":[97],"achieves":[99],"throughputs":[101],"380.89":[103],"509.21":[105],"in":[107],"mode,":[109],"delivering":[110],"20":[113],"times":[114],"higher":[115],"performance":[116,140],"than":[117],"industry-leading":[118],"compressors":[120],"while":[121],"achieving":[122],"superior":[123],"ratios.":[125],"In":[126],"modes,":[128],"further":[130],"improves":[131],"throughput":[132],"significantly.":[135],"Additionally,":[136],"demonstrates":[138],"versatile":[139],"various":[142],"integer":[143],"datasets":[144],"TB/s-level":[147],"random":[148],"access":[149],"throughput.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-12T00:00:00"}
