{"id":"https://openalex.org/W4388105305","doi":"https://doi.org/10.1145/3581784.3607048","title":"cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance","display_name":"cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4388105305","doi":"https://doi.org/10.1145/3581784.3607048"},"language":"en","primary_location":{"id":"doi:10.1145/3581784.3607048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581784.3607048","pdf_url":null,"source":null,"license":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"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, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, United States of America","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, Lemont, United States of America"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Lemont, United States of America","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102950844","display_name":"Xiaodong Yu","orcid":"https://orcid.org/0000-0003-2432-6171"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Yu","raw_affiliation_strings":["Stevens Institute of Technology, Hoboken, United States of America"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, United States of America","institution_ids":["https://openalex.org/I108468826"]}]},{"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/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":false,"raw_author_name":"Guanpeng Li","raw_affiliation_strings":["University of Iowa, Iowa City, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, United States of America","institution_ids":["https://openalex.org/I126307644"]}]},{"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, Lemont, United States of America"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Lemont, United States of America","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074539156"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":6.7429,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97274004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991999864578247,"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":0.996399998664856,"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":0.8985757231712341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889919877052307},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6441750526428223},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5323484539985657},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5305460095405579},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5003154277801514},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4782513678073883},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.45131754875183105},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.4162040054798126},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4023524522781372},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3309524953365326}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8985757231712341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889919877052307},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6441750526428223},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5323484539985657},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5305460095405579},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5003154277801514},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4782513678073883},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.45131754875183105},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.4162040054798126},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4023524522781372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3309524953365326},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581784.3607048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581784.3607048","pdf_url":null,"source":null,"license":null,"license_id":null,"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":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4925539110","display_name":null,"funder_award_id":"OAC-2211539/2247060","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5311416929","display_name":null,"funder_award_id":"OAC-2211538","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7954425250","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8678624097","display_name":null,"funder_award_id":"OAC-2104023","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8804058511","display_name":null,"funder_award_id":"OAC-2003709","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"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1528999146","https://openalex.org/W1902814702","https://openalex.org/W1964704819","https://openalex.org/W2052440657","https://openalex.org/W2064076387","https://openalex.org/W2076211048","https://openalex.org/W2086748522","https://openalex.org/W2125634634","https://openalex.org/W2133665775","https://openalex.org/W2164566630","https://openalex.org/W2486202470","https://openalex.org/W2490233347","https://openalex.org/W2625759119","https://openalex.org/W2741341431","https://openalex.org/W2788316508","https://openalex.org/W2790987306","https://openalex.org/W2792247833","https://openalex.org/W2912174957","https://openalex.org/W2963030973","https://openalex.org/W2986205304","https://openalex.org/W3042625184","https://openalex.org/W3043494828","https://openalex.org/W3102927675","https://openalex.org/W3105622770","https://openalex.org/W3106011734","https://openalex.org/W3138054712","https://openalex.org/W3173669904","https://openalex.org/W3174738244","https://openalex.org/W3205797155","https://openalex.org/W4235375376","https://openalex.org/W4282963011","https://openalex.org/W4283394632","https://openalex.org/W4306728710","https://openalex.org/W4321636650","https://openalex.org/W4383749368","https://openalex.org/W4385270458"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W3212420620","https://openalex.org/W4307097729","https://openalex.org/W2912174957","https://openalex.org/W2385628723","https://openalex.org/W2888954728","https://openalex.org/W2552401318","https://openalex.org/W108076602","https://openalex.org/W3180760233","https://openalex.org/W3080614128"],"abstract_inverted_index":{"Modern":[0],"scientific":[1,124],"applications":[2],"and":[3,23,100,112,145],"supercomputing":[4],"systems":[5],"are":[6],"generating":[7],"large":[8],"amounts":[9],"of":[10,44],"data":[11,20,45,51,113,148],"in":[12,19],"various":[13],"fields,":[14],"leading":[15],"to":[16,74],"critical":[17],"challenges":[18],"storage":[21],"footprints":[22],"communication":[24],"times.":[25],"To":[26],"address":[27],"this":[28,54],"issue,":[29],"error-bounded":[30,60],"GPU":[31,61,120],"lossy":[32,62],"compression":[33,110,143],"has":[34],"been":[35],"widely":[36],"adopted,":[37],"since":[38],"it":[39,107],"can":[40,129],"reduce":[41],"the":[42,68,76,84],"volume":[43],"within":[46],"a":[47,91,96,141],"customized":[48],"threshold":[49],"on":[50,117],"distortion.":[52],"In":[53,87],"work,":[55],"we":[56],"propose":[57],"an":[58,131],"ultra-fast":[59,132],"compressor":[63],"cuSZp.":[64],"Specifically,":[65],"cuSZp":[66,89,128],"computes":[67],"linear":[69],"recurrences":[70],"with":[71,95,121,137,140],"hierarchical":[72],"parallelism":[73],"fuse":[75],"massive":[77],"computation":[78],"into":[79],"one":[80],"kernel,":[81],"drastically":[82],"improving":[83],"end-to-end":[85,133],"throughput.":[86],"addition,":[88],"adopts":[90],"block-wise":[92],"design":[93],"along":[94,139],"lightweight":[97],"fixed-length":[98],"encoding":[99],"bit-shuffle":[101],"inside":[102],"each":[103],"block":[104],"such":[105],"that":[106,127],"achieves":[108],"high":[109,142,146],"ratios":[111],"quality.":[114,149],"Our":[115],"experiments":[116],"NVIDIA":[118],"A100":[119],"6":[122],"representative":[123],"datasets":[125],"demonstrate":[126],"achieve":[130],"throughput":[134],"(95.53x":[135],"compared":[136],"cuSZ)":[138],"ratio":[144],"reconstructed":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}