{"id":"https://openalex.org/W4416155374","doi":"https://doi.org/10.1145/3712285.3759817","title":"GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast","display_name":"GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416155374","doi":"https://doi.org/10.1145/3712285.3759817"},"language":null,"primary_location":{"id":"doi:10.1145/3712285.3759817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759817","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/10.1145/3712285.3759817","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/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":"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":4,"corresponding_author_ids":["https://openalex.org/A5074539156"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":5.1011,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95750558,"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":"2056","last_page":"2075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.588100016117096,"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":0.588100016117096,"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":0.14139999449253082,"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/T11269","display_name":"Algorithms and Data Compression","score":0.05350000038743019,"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":0.8471999764442444},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6660000085830688},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5989999771118164},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5746999979019165},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.460999995470047},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4544999897480011},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.42660000920295715}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8471999764442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853999733924866},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6660000085830688},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5989999771118164},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5746999979019165},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4544999897480011},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.42660000920295715},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.41179999709129333},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4083000123500824},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3874000012874603},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2825999855995178},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.2757999897003174},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27559998631477356},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712285.3759817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759817","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:10.1145/3712285.3759817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712285.3759817","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":71,"referenced_works":["https://openalex.org/W1964704819","https://openalex.org/W1964981582","https://openalex.org/W1965092590","https://openalex.org/W1981812667","https://openalex.org/W1984830660","https://openalex.org/W2011111774","https://openalex.org/W2046407491","https://openalex.org/W2049440937","https://openalex.org/W2052440657","https://openalex.org/W2076211048","https://openalex.org/W2086748522","https://openalex.org/W2087395828","https://openalex.org/W2107819646","https://openalex.org/W2109497697","https://openalex.org/W2118906989","https://openalex.org/W2119878143","https://openalex.org/W2125634634","https://openalex.org/W2139774022","https://openalex.org/W2154078685","https://openalex.org/W2292469857","https://openalex.org/W2486202470","https://openalex.org/W2492590231","https://openalex.org/W2570426609","https://openalex.org/W2625759119","https://openalex.org/W2788316508","https://openalex.org/W2912174957","https://openalex.org/W2959531572","https://openalex.org/W2986871396","https://openalex.org/W3016021480","https://openalex.org/W3043058721","https://openalex.org/W3043494828","https://openalex.org/W3138054712","https://openalex.org/W3163832987","https://openalex.org/W3173669904","https://openalex.org/W3180329928","https://openalex.org/W3210465286","https://openalex.org/W4226437405","https://openalex.org/W4281621347","https://openalex.org/W4281678927","https://openalex.org/W4283394632","https://openalex.org/W4285105236","https://openalex.org/W4362566357","https://openalex.org/W4367176010","https://openalex.org/W4383749368","https://openalex.org/W4384705348","https://openalex.org/W4384705365","https://openalex.org/W4386075611","https://openalex.org/W4388105305","https://openalex.org/W4388581258","https://openalex.org/W4396661755","https://openalex.org/W4396814797","https://openalex.org/W4399282167","https://openalex.org/W4400409887","https://openalex.org/W4401176373","https://openalex.org/W4401176521","https://openalex.org/W4401408704","https://openalex.org/W4401862159","https://openalex.org/W4402045550","https://openalex.org/W4402671659","https://openalex.org/W4405755277","https://openalex.org/W4405755284","https://openalex.org/W4405755896","https://openalex.org/W4405756077","https://openalex.org/W4405756287","https://openalex.org/W4405756379","https://openalex.org/W4406014579","https://openalex.org/W4407052117","https://openalex.org/W4407196855","https://openalex.org/W4412605205","https://openalex.org/W4413411750","https://openalex.org/W4416155376"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"VGC,":[3],"a":[4,45,76],"versatile":[5],"and":[6,30,62,90],"ultra-fast":[7],"GPU":[8,48,88],"lossy":[9],"compression":[10,33,37,60],"framework":[11],"designed":[12],"to":[13,59,80,110],"address":[14],"the":[15,86,116],"growing":[16],"data":[17,29,92],"challenges":[18],"in":[19,27],"high-performance":[20],"computing":[21],"(HPC).":[22],"VGC":[23,50,64],"captures":[24],"dimension":[25],"information":[26],"scientific":[28],"supports":[31,65],"three":[32],"algorithms,":[34],"achieving":[35],"high":[36],"ratios":[38],"across":[39],"diverse":[40],"HPC":[41],"domains.":[42],"Built":[43],"with":[44,54],"highly":[46],"optimized":[47],"kernel,":[49],"delivers":[51],"state-of-the-art":[52],"throughput":[53],"error":[55],"control.":[56],"In":[57],"addition":[58],"ratio":[61],"speed,":[63],"two":[66],"distinctive":[67],"modes":[68],"that":[69,106],"enhance":[70],"its":[71],"versatility.":[72],"Memory-efficient":[73],"Compression":[74],"uses":[75],"kernel":[77],"fission":[78],"design":[79],"compute":[81],"compressed":[82],"size,":[83],"allocate":[84],"only":[85],"required":[87],"memory,":[89],"compress":[91],"without":[93,114],"waste,":[94],"effectively":[95],"reducing":[96],"memory":[97],"footprint.":[98],"Selective":[99],"Decompression":[100],"introduces":[101],"an":[102],"early":[103],"stopping":[104],"mechanism":[105],"enables":[107],"direct":[108],"access":[109],"regions":[111],"of":[112],"interest":[113],"decompressing":[115],"entire":[117],"dataset.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-12T00:00:00"}