{"id":"https://openalex.org/W2767192363","doi":"https://doi.org/10.1145/3144769.3144776","title":"Cosmological Particle Data Compression in Practice","display_name":"Cosmological Particle Data Compression in Practice","publication_year":2017,"publication_date":"2017-10-31","ids":{"openalex":"https://openalex.org/W2767192363","doi":"https://doi.org/10.1145/3144769.3144776","mag":"2767192363"},"language":"en","primary_location":{"id":"doi:10.1145/3144769.3144776","doi":"https://doi.org/10.1145/3144769.3144776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3144769.3144776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5022255428","display_name":"Max Zeyen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]},{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046","https://openalex.org/I4387152675"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Max Zeyen","raw_affiliation_strings":["Los Alamos National Laboratory, University of Kaiserslautern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, University of Kaiserslautern","institution_ids":["https://openalex.org/I1343871089","https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000687536","display_name":"James Paul Ahrens","orcid":"https://orcid.org/0000-0001-9378-282X","observed_orcids":["https://orcid.org/0000-0001-9378-282X"]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Ahrens","raw_affiliation_strings":["Los Alamos National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108428297","display_name":"Hans Hagen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046","https://openalex.org/I4387152675"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans Hagen","raw_affiliation_strings":["University of Kaiserslautern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043238619","display_name":"Katrin Heitmann","orcid":"https://orcid.org/0000-0003-1468-8232","observed_orcids":["https://orcid.org/0000-0003-1468-8232"]},"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":"Katrin Heitmann","raw_affiliation_strings":["Argonne National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082927374","display_name":"Salman Habib","orcid":"https://orcid.org/0000-0002-7832-0771","observed_orcids":["https://orcid.org/0000-0002-7832-0771"]},"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":"Salman Habib","raw_affiliation_strings":["Argonne National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4922,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67177616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"35","issue":null,"first_page":"12","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.47269999980926514,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.47269999980926514,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.15530000627040863,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.09030000120401382,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/cosmological-simulations","display_name":"cosmological simulations","score":0.800000011920929},{"id":"https://openalex.org/keywords/in-situ-compression","display_name":"in situ compression","score":0.9860000014305115},{"id":"https://openalex.org/keywords/i-o-performance","display_name":"I/O performance","score":0.8349999785423279},{"id":"https://openalex.org/keywords/storage-scalability","display_name":"storage scalability","score":0.6010000109672546},{"id":"https://openalex.org/keywords/compression-throughput","display_name":"compression throughput","score":0.902999997138977},{"id":"https://openalex.org/keywords/reconstruction-error","display_name":"reconstruction error","score":0.8360000252723694},{"id":"https://openalex.org/keywords/compression-rate","display_name":"compression rate","score":0.5879999995231628},{"id":"https://openalex.org/keywords/research-data-management","display_name":"research data management","score":0.3499999940395355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193140983581543},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.6923068761825562},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6657491326332092},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6638736724853516},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6634883880615234},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6030181050300598},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.5977246165275574},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4572645127773285},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41316890716552734},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39508724212646484},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34414011240005493},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2302478849887848},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22894173860549927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21613141894340515},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.15568235516548157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12296724319458008},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10662543773651123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10083389282226562},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.08968022465705872},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07292163372039795},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3144769.3144776","doi":"https://doi.org/10.1145/3144769.3144776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3144769.3144776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W118291038","https://openalex.org/W1600963723","https://openalex.org/W1753847782","https://openalex.org/W1968350445","https://openalex.org/W1982398463","https://openalex.org/W2003554791","https://openalex.org/W2052440657","https://openalex.org/W2064018809","https://openalex.org/W2076029958","https://openalex.org/W2086748522","https://openalex.org/W2099272828","https://openalex.org/W2104246757","https://openalex.org/W2141005805","https://openalex.org/W2142265837","https://openalex.org/W2412744095","https://openalex.org/W2486202470","https://openalex.org/W3105225363","https://openalex.org/W4241614188"],"related_works":["https://openalex.org/W2808817673","https://openalex.org/W4256251096","https://openalex.org/W2317248932","https://openalex.org/W19023560","https://openalex.org/W2388481516","https://openalex.org/W2161302774","https://openalex.org/W2766695209","https://openalex.org/W2011090518","https://openalex.org/W2945049259","https://openalex.org/W2103127675"],"abstract_inverted_index":{"In":[0,64],"cosmological":[1,167],"simulations,":[2],"trillions":[3],"of":[4,11,45,62,75,84,143,166],"particles":[5],"are":[6,14,131,170],"handled":[7],"and":[8,39,98,105,128,147,161],"several":[9],"terabytes":[10],"particle":[12,112,168],"data":[13,22,52,169],"generated":[15],"in":[16,28,33,66,152,163],"each":[17],"time":[18,71,77],"step.":[19],"Transferring":[20],"this":[21,65,137,157],"directly":[23],"from":[24,89],"memory":[25],"to":[26,49,56,95,103,111],"disk":[27,57],"an":[29],"uncompressed":[30],"way":[31],"results":[32],"a":[34,140],"massive":[35],"load":[36],"on":[37,92,134,156],"I/O":[38],"storage":[40],"systems.":[41],"Hence,":[42],"one":[43,76],"goal":[44],"domain":[46],"scientists":[47],"is":[48,79],"compress":[50],"the":[51,60,69,73,82,115,144,164],"before":[53],"storing":[54],"it":[55],"while":[58],"minimizing":[59],"loss":[61],"information.":[63],"situ":[67,153],"scenario,":[68],"available":[70],"for":[72,151],"compression":[74,85,93,108,117,124,165],"step":[78],"limited.":[80],"Therefore,":[81],"evaluation":[83],"techniques":[86,109,146],"has":[87],"shifted":[88],"only":[90],"focusing":[91],"rates":[94],"including":[96],"throughput":[97],"scalability.":[99],"This":[100],"study":[101,138],"aims":[102],"evaluate":[104],"compare":[106],"state-of-the-art":[107],"applied":[110],"data.":[113],"For":[114],"investigated":[116],"techniques,":[118],"quantitative":[119],"performance":[120],"indicators":[121],"such":[122],"as":[123],"rates,":[125],"throughput,":[126],"scalability,":[127],"reconstruction":[129],"errors":[130],"measured.":[132],"Based":[133,155],"these":[135],"factors,":[136],"offers":[139],"comprehensive":[141],"analysis":[142],"individual":[145],"discusses":[148],"their":[149],"applicability":[150],"compression.":[154],"study,":[158],"future":[159],"challenges":[160],"directions":[162],"identified.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2025-10-10T00:00:00"}
