{"id":"https://openalex.org/W2990618454","doi":"https://doi.org/10.1109/hpec.2019.8916286","title":"Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets","display_name":"Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990618454","doi":"https://doi.org/10.1109/hpec.2019.8916286","mag":"2990618454"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2019.8916286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5100612041","display_name":"Jialing Zhang","orcid":"https://orcid.org/0000-0001-5484-3511"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jialing Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077231201","display_name":"Aekyeung Moon","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aekyeung Moon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011176441","display_name":"Xiaoyan Zhuo","orcid":"https://orcid.org/0000-0002-3893-5480"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyan Zhuo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102805559","display_name":"Seung Woo Son","orcid":"https://orcid.org/0000-0001-8922-418X"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung Woo Son","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100612041"],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":0.911,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79598748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9975000023841858,"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":0.9958999752998352,"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":0.9259469509124756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417872905731201},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5977652072906494},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5831769108772278},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5566575527191162},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5563840270042419},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45071518421173096},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2865056097507477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22304734587669373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21250784397125244},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.12749063968658447},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10720258951187134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09159743785858154},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08613419532775879},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08121994137763977},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07103782892227173}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9259469509124756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417872905731201},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5977652072906494},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5831769108772278},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5566575527191162},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5563840270042419},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45071518421173096},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2865056097507477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22304734587669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21250784397125244},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.12749063968658447},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10720258951187134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09159743785858154},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08613419532775879},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08121994137763977},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07103782892227173},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2019.8916286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W118291038","https://openalex.org/W1499782454","https://openalex.org/W1528999146","https://openalex.org/W1627054999","https://openalex.org/W1777016212","https://openalex.org/W1973657321","https://openalex.org/W1980850744","https://openalex.org/W1981257396","https://openalex.org/W2043220197","https://openalex.org/W2052440657","https://openalex.org/W2097269032","https://openalex.org/W2097749765","https://openalex.org/W2110455446","https://openalex.org/W2115907784","https://openalex.org/W2118217749","https://openalex.org/W2120903086","https://openalex.org/W2292469857","https://openalex.org/W2486202470","https://openalex.org/W2585371792","https://openalex.org/W2612359746","https://openalex.org/W2625759119","https://openalex.org/W2760568291","https://openalex.org/W2766156319","https://openalex.org/W2767192363","https://openalex.org/W2886627854","https://openalex.org/W2982580815","https://openalex.org/W3102484191","https://openalex.org/W6631612683"],"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":{"As":[0],"the":[1,64,83,102,108,135,175],"size":[2],"and":[3,26,39,69,115,138],"amount":[4,65],"of":[5,59,66,87,105,179],"data":[6,17,47,70],"produced":[7],"by":[8,81,183],"high-performance":[9],"computing":[10],"(HPC)":[11],"applications":[12],"grow":[13],"exponentially,":[14],"an":[15,160],"effective":[16],"reduction":[18,48],"technique":[19],"is":[20],"becoming":[21],"critical":[22],"to":[23,44,98,124,158],"mitigating":[24],"time":[25],"space":[27],"burden.":[28],"Lossy":[29],"compression":[30,79],"techniques,":[31],"which":[32],"have":[33],"been":[34],"widely":[35],"used":[36],"in":[37,55,62,129,177],"image":[38],"video":[40],"compression,":[41],"hold":[42],"promise":[43],"fulfill":[45],"such":[46],"need.":[49],"However,":[50],"they":[51],"are":[52,156],"seldom":[53],"adopted":[54],"HPC":[56,91,99,144],"datasets":[57],"because":[58],"their":[60],"difficulty":[61],"quantifying":[63],"information":[67,126],"loss":[68,127],"reduction.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75,94],"explore":[76],"a":[77,121,130],"lossy":[78],"strategy":[80],"revisiting":[82],"energy":[84,110,162],"compaction":[85,113,163],"properties":[86],"discrete":[88],"transforms":[89,97],"on":[90,151,165,186],"datasets.":[92,145,168],"Specifically,":[93],"apply":[95],"block-based":[96],"datasets,":[100],"obtain":[101],"minimum":[103],"number":[104],"coefficients":[106,119],"containing":[107],"maximum":[109],"(or":[111],"information)":[112],"rate,":[114],"quantize":[116],"remaining":[117],"non-dominant":[118],"using":[120,141],"binning":[122],"mechanism":[123],"minimize":[125],"expressed":[128],"distortion":[131,176],"measure.":[132],"We":[133],"implement":[134],"proposed":[136],"approach":[137],"evaluate":[139],"it":[140],"six":[142],"real-world":[143],"Our":[146],"experimental":[147],"results":[148],"show":[149],"that,":[150],"average,":[152],"only":[153],"6.67":[154],"bits":[155],"required":[157],"preserve":[159],"optimal":[161],"rate":[164],"our":[166,170],"evaluated":[167],"Moreover,":[169],"knee":[171],"detection":[172],"algorithm":[173],"improves":[174],"terms":[178],"peak":[180],"signal-to-noise":[181],"ratio":[182],"2.46":[184],"dB":[185],"average.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
