{"id":"https://openalex.org/W4402045550","doi":"https://doi.org/10.1145/3625549.3658691","title":"CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2","display_name":"CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4402045550","doi":"https://doi.org/10.1145/3625549.3658691"},"language":"en","primary_location":{"id":"doi:10.1145/3625549.3658691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625549.3658691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing","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/A5025805788","display_name":"Shihui Song","orcid":"https://orcid.org/0009-0007-9426-8591"},"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":"Shihui Song","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/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":false,"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/A5070002691","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0001-7743-6062"},"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":"Peng Jiang","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/A5052001478","display_name":"Xiaodong Yu","orcid":"https://orcid.org/0000-0001-6244-1264"},"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, New Jersey, United States of America"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, New Jersey, United States of America","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051499975","display_name":"Weijian Zheng","orcid":"https://orcid.org/0000-0003-2791-0031"},"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":"Weijian Zheng","raw_affiliation_strings":["Argonne National Laboratory, Lemont, USA"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124363","display_name":"Sheng Di","orcid":"https://orcid.org/0000-0002-9935-5674"},"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/A5031048186","display_name":"Qinglei Cao","orcid":"https://orcid.org/0000-0002-6690-194X"},"institutions":[{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinglei Cao","raw_affiliation_strings":["Saint Louis University, St. Louis,, USA"],"affiliations":[{"raw_affiliation_string":"Saint Louis University, St. Louis,, USA","institution_ids":["https://openalex.org/I47838141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073748933","display_name":"Yunhe Feng","orcid":"https://orcid.org/0000-0001-6577-227X"},"institutions":[{"id":"https://openalex.org/I87573096","display_name":"University of North Texas at Dallas","ror":"https://ror.org/01n51v443","country_code":"US","type":"education","lineage":["https://openalex.org/I87573096"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunhe Feng","raw_affiliation_strings":["University of North Texas, Dallas, United States of America"],"affiliations":[{"raw_affiliation_string":"University of North Texas, Dallas, United States of America","institution_ids":["https://openalex.org/I87573096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037768390","display_name":"Zhen Xie","orcid":"https://orcid.org/0000-0003-3516-2192"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Xie","raw_affiliation_strings":["Binghamton University, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Binghamton University, New York, United States of America","institution_ids":["https://openalex.org/I123946342"]}]},{"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":10,"corresponding_author_ids":["https://openalex.org/A5025805788"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":2.9914,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92504526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9959999918937683,"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":0.9959999918937683,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.994700014591217,"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/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"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":0.9094148874282837},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6979051828384399},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6809449195861816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483726501464844},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6085881590843201},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.590092658996582},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3631513714790344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1875959038734436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12310215830802917},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11961221694946289},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06539732217788696}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9094148874282837},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6979051828384399},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6809449195861816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483726501464844},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6085881590843201},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.590092658996582},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3631513714790344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1875959038734436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12310215830802917},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11961221694946289},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06539732217788696},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625549.3658691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625549.3658691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2066410750","display_name":null,"funder_award_id":"OAC-2311875","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1573878051","https://openalex.org/W2049440937","https://openalex.org/W2052440657","https://openalex.org/W2064076387","https://openalex.org/W2076211048","https://openalex.org/W2086748522","https://openalex.org/W2087395828","https://openalex.org/W2125634634","https://openalex.org/W2133665775","https://openalex.org/W2486202470","https://openalex.org/W2625759119","https://openalex.org/W2741341431","https://openalex.org/W2788316508","https://openalex.org/W2887854925","https://openalex.org/W2912174957","https://openalex.org/W2940637162","https://openalex.org/W2959531572","https://openalex.org/W2999752146","https://openalex.org/W3028349720","https://openalex.org/W3037979316","https://openalex.org/W3043494828","https://openalex.org/W3100617217","https://openalex.org/W3102927675","https://openalex.org/W3104308872","https://openalex.org/W3105622770","https://openalex.org/W3106011734","https://openalex.org/W3138054712","https://openalex.org/W3141728994","https://openalex.org/W3171200431","https://openalex.org/W3174738244","https://openalex.org/W3176053424","https://openalex.org/W3180329928","https://openalex.org/W4205627056","https://openalex.org/W4226076355","https://openalex.org/W4241614188","https://openalex.org/W4282963011","https://openalex.org/W4283394632","https://openalex.org/W4320063484","https://openalex.org/W4321448356","https://openalex.org/W4321636650","https://openalex.org/W4376864771","https://openalex.org/W4381327281","https://openalex.org/W4381327469","https://openalex.org/W4383749368","https://openalex.org/W4384705348","https://openalex.org/W4385802078","https://openalex.org/W4387994442","https://openalex.org/W4388105305","https://openalex.org/W4388581358","https://openalex.org/W4388697601"],"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":{"Today's":[0],"scientific":[1,86,156],"applications":[2],"running":[3],"on":[4,97,112,138],"supercomputers":[5,80],"produce":[6],"large":[7],"volumes":[8],"of":[9],"data,":[10],"leading":[11],"to":[12,133,146,168,172],"critical":[13],"data":[14,33,59,95,126],"storage":[15,52],"and":[16,53,70,81,128],"communication":[17],"challenges.":[18],"To":[19],"tackle":[20],"the":[21,51,62,98,113,149],"challenges,":[22],"error-bounded":[23],"lossy":[24,108],"compression":[25,46,96,118],"is":[26,89,120],"commonly":[27],"adopted":[28],"since":[29],"it":[30],"can":[31,48,161],"reduce":[32,50],"size":[34],"drastically":[35],"within":[36],"a":[37,90,135,163],"user-defined":[38],"error":[39],"threshold.":[40],"Previous":[41],"work":[42],"has":[43],"shown":[44],"that":[45,159],"techniques":[47],"significantly":[49],"I/O":[54],"overhead":[55],"while":[56],"retaining":[57],"good":[58],"quality.":[60],"However,":[61],"existing":[63,176],"compressors":[64],"are":[65,76],"mainly":[66],"designed":[67],"for":[68,84,93],"CPU":[69],"GPU.":[71],"As":[72],"new":[73,99],"AI":[74],"chips":[75],"being":[77],"incorporated":[78],"into":[79],"increasingly":[82],"used":[83],"accelerating":[85],"computing,":[87],"there":[88],"growing":[91],"demand":[92],"efficient":[94,107],"architecture.":[100],"In":[101,131],"this":[102],"paper,":[103],"we":[104,142],"propose":[105,143],"an":[106,144],"compressor,":[109],"CereSZ,":[110],"based":[111],"Cerebras":[114,123],"CS-2":[115],"system.":[116],"The":[117],"algorithm":[119,145],"mapped":[121],"onto":[122],"using":[124],"both":[125],"parallelism":[127],"pipeline":[129,150],"parallelism.":[130],"order":[132],"achieve":[134,162],"balanced":[136],"workload":[137],"each":[139],"processing":[140],"unit,":[141],"evenly":[147],"distribute":[148],"stages.":[151],"Our":[152],"experiments":[153],"with":[154],"six":[155],"datasets":[157],"demonstrate":[158],"CereSZ":[160],"throughput":[164],"from":[165],"227.93":[166],"GB/s":[167],"773.8":[169],"GB/s,":[170],"2.43x":[171],"10.98x":[173],"faster":[174],"than":[175],"GPU":[177],"compressors.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}