{"id":"https://openalex.org/W4206341542","doi":"https://doi.org/10.1145/3481641","title":"L <sup>2</sup> C: Combining Lossy and Lossless Compression on Memory and I/O","display_name":"L <sup>2</sup> C: Combining Lossy and Lossless Compression on Memory and I/O","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4206341542","doi":"https://doi.org/10.1145/3481641"},"language":"en","primary_location":{"id":"doi:10.1145/3481641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3481641","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.chalmers.se/publication/528812/file/528812_Fulltext.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003000303","display_name":"Albin Eldst\u00e5l-Ahrens","orcid":"https://orcid.org/0000-0001-9690-0801"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Albin Eldst\u00e5l-Ahrens","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-9690-0801","affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076793428","display_name":"Angelos Arelakis","orcid":"https://orcid.org/0000-0001-6809-9797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angelos Arelakis","raw_affiliation_strings":["ZeroPoint Technologies AB, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZeroPoint Technologies AB, Gothenburg, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087174287","display_name":"Ioannis Sourdis","orcid":"https://orcid.org/0000-0002-0452-3664"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ioannis Sourdis","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6527,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62116239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.9244006872177124},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.9187866449356079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8101741671562195},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5578575134277344},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5441386103630066},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5441009998321533},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5111158490180969},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.49454566836357117},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.403953492641449},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.39280304312705994},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3722437620162964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35284745693206787},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34891265630722046},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3346293568611145},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.2848397493362427},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10680690407752991},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08708590269088745},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08499208092689514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07675480842590332},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.066242516040802}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9244006872177124},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9187866449356079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101741671562195},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5578575134277344},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5441386103630066},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5441009998321533},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5111158490180969},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.49454566836357117},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.403953492641449},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.39280304312705994},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3722437620162964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35284745693206787},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34891265630722046},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3346293568611145},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2848397493362427},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10680690407752991},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08708590269088745},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08499208092689514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07675480842590332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.066242516040802},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3481641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3481641","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:research.chalmers.se:528250","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/528250","pdf_url":"https://research.chalmers.se/publication/528812/file/528812_Fulltext.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:research.chalmers.se:528812","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/e216b204-0d18-48c2-9323-6cc086b095c6","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"pmh:oai:research.chalmers.se:528250","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/528250","pdf_url":"https://research.chalmers.se/publication/528812/file/528812_Fulltext.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5738240099","display_name":null,"funder_award_id":"2012-4924","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G7961372870","display_name":null,"funder_award_id":"2014-622","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206341542.pdf","grobid_xml":"https://content.openalex.org/works/W4206341542.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1582873796","https://openalex.org/W1926815826","https://openalex.org/W2002589306","https://openalex.org/W2005506050","https://openalex.org/W2020517863","https://openalex.org/W2025632321","https://openalex.org/W2026005150","https://openalex.org/W2035729201","https://openalex.org/W2036853599","https://openalex.org/W2040731319","https://openalex.org/W2052201685","https://openalex.org/W2053709612","https://openalex.org/W2056222607","https://openalex.org/W2081140905","https://openalex.org/W2088883656","https://openalex.org/W2100799353","https://openalex.org/W2100993827","https://openalex.org/W2112197601","https://openalex.org/W2114668191","https://openalex.org/W2118703320","https://openalex.org/W2147657598","https://openalex.org/W2162639668","https://openalex.org/W2162752393","https://openalex.org/W2162800060","https://openalex.org/W2166773037","https://openalex.org/W2170382128","https://openalex.org/W2187230075","https://openalex.org/W2236479978","https://openalex.org/W2237415205","https://openalex.org/W2294413161","https://openalex.org/W2330958039","https://openalex.org/W2418133265","https://openalex.org/W2486202470","https://openalex.org/W2516109628","https://openalex.org/W2549342384","https://openalex.org/W2554131156","https://openalex.org/W2567051523","https://openalex.org/W2596989490","https://openalex.org/W2762654171","https://openalex.org/W2766156319","https://openalex.org/W2766165550","https://openalex.org/W2771609513","https://openalex.org/W2771613338","https://openalex.org/W2783318011","https://openalex.org/W2795870271","https://openalex.org/W2886377182","https://openalex.org/W2902113015","https://openalex.org/W2903720139","https://openalex.org/W2905045719","https://openalex.org/W2907957573","https://openalex.org/W2945632298","https://openalex.org/W3005783121","https://openalex.org/W3007103978","https://openalex.org/W3007797378","https://openalex.org/W3009433637","https://openalex.org/W3037433386","https://openalex.org/W3043522871","https://openalex.org/W3044766408","https://openalex.org/W3048221353","https://openalex.org/W3096727054","https://openalex.org/W3098592065","https://openalex.org/W3105912033","https://openalex.org/W4210464935","https://openalex.org/W4235631643","https://openalex.org/W4239813889","https://openalex.org/W4240237526","https://openalex.org/W4242219762","https://openalex.org/W4246619473","https://openalex.org/W6929514140"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W2385628723","https://openalex.org/W3035703949","https://openalex.org/W4322770433","https://openalex.org/W3080614128","https://openalex.org/W4327978137","https://openalex.org/W2372078508","https://openalex.org/W2556577032","https://openalex.org/W2786376957"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"introduce":[4],"L":[5,26,87,102,132,164],"2":[6,27,88,103,133,165],"C,":[7],"a":[8,23,91,97,159,175],"hybrid":[9],"lossy/lossless":[10],"compression":[11,32,39,42,130,154,168],"scheme":[12],"applicable":[13],"both":[14],"to":[15,40,45,48,122,172],"the":[16,50,123],"memory":[17,57,61,92,129],"subsystem":[18],"and":[19,33,47,67,83,114,125,140,143,150,178],"I/O":[20,71,153],"traffic":[21,58,72],"of":[22,52,99,112,161,170],"processor":[24],"chip.":[25],"C":[28,89,104,134,166],"employs":[29],"general-purpose":[30],"lossless":[31,126],"combines":[34],"it":[35],"with":[36,96],"state-of-the-art":[37,128],"lossy":[38,124],"achieve":[41],"ratios":[43,169],"up":[44,171],"16:1":[46],"improve":[49],"utilization":[51],"chip\u2019s":[53],"bandwidth":[54],"resources.":[55],"Compressing":[56,70],"yields":[59],"lower":[60],"access":[62],"time,":[63],"improving":[64],"system":[65,116,145],"performance,":[66],"energy":[68,117,146],"efficiency.":[69],"offers":[73],"several":[74],"benefits":[75],"for":[76,174],"resource-constrained":[77],"systems,":[78],"including":[79],"more":[80,186],"efficient":[81],"storage":[82],"networking.":[84],"We":[85],"evaluate":[86],"as":[90],"compressor":[93],"in":[94],"simulation":[95],"set":[98,160],"approximation-tolerant":[100],"applications.":[101],"improves":[105,135],"baseline":[106],"execution":[107,136],"time":[108,137],"by":[109,119,138,148],"an":[110],"average":[111,180],"50%":[113],"total":[115],"consumption":[118],"16%.":[120],"Compared":[121],"current":[127],"approaches,":[131],"9%":[139],"26%,":[141],"respectively,":[142],"reduces":[144],"costs":[147],"3%":[149],"5%,":[151],"respectively.":[152],"efficacy":[155],"is":[156],"evaluated":[157],"using":[158],"real-life":[162],"datasets.":[163],"achieves":[167],"10.4:1":[173],"single":[176],"dataset":[177],"on":[179],"about":[181],"4:1,":[182],"while":[183],"introducing":[184],"no":[185],"than":[187],"0.4%":[188],"error.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-01-25T00:00:00"}
