{"id":"https://openalex.org/W2471164860","doi":"https://doi.org/10.1145/2897824.2925952","title":"Automatically scheduling halide image processing pipelines","display_name":"Automatically scheduling halide image processing pipelines","publication_year":2016,"publication_date":"2016-07-11","ids":{"openalex":"https://openalex.org/W2471164860","doi":"https://doi.org/10.1145/2897824.2925952","mag":"2471164860"},"language":"en","primary_location":{"id":"doi:10.1145/2897824.2925952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2897824.2925952","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2925952&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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 Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2925952&type=pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006412542","display_name":"Ravi Teja Mullapudi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Teja Mullapudi","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082293572","display_name":"Andrew Adams","orcid":"https://orcid.org/0000-0001-8925-9956"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Adams","raw_affiliation_strings":["Google"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057869975","display_name":"Dillon Sharlet","orcid":"https://orcid.org/0000-0002-7118-7576"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dillon Sharlet","raw_affiliation_strings":["Google"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023577472","display_name":"Jonathan Ragan\u2010Kelley","orcid":"https://orcid.org/0000-0001-6243-9543"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Ragan-Kelley","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037444018","display_name":"Kayvon Fatahalian","orcid":"https://orcid.org/0000-0001-8754-0429"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvon Fatahalian","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.0246,"has_fulltext":true,"cited_by_count":178,"citation_normalized_percentile":{"value":0.99737441,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"4","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9925000071525574,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.8369269371032715},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.733864426612854},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5785977244377136},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5499132871627808},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5489755272865295},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.544562041759491},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5433779954910278},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34250473976135254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29558265209198},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2608950436115265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19236326217651367},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1734144687652588},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07022008299827576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8369269371032715},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.733864426612854},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5785977244377136},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5499132871627808},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5489755272865295},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.544562041759491},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5433779954910278},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34250473976135254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29558265209198},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2608950436115265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19236326217651367},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1734144687652588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07022008299827576},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2897824.2925952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2897824.2925952","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2925952&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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 Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/2897824.2925952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2897824.2925952","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2925952&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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 Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1303475900","display_name":"VEC: Small: Collaborative Research: The Visual Computing Database: A Platform for Visual Data Processing and Analysis at Internet Scale","funder_award_id":"1539069","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3582065027","display_name":null,"funder_award_id":"FA8750-14-2-0009","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1968799614","https://openalex.org/W1980208272","https://openalex.org/W1989988531","https://openalex.org/W1993465480","https://openalex.org/W2036959650","https://openalex.org/W2055312318","https://openalex.org/W2081544658","https://openalex.org/W2084917734","https://openalex.org/W2100218206","https://openalex.org/W2111308925","https://openalex.org/W2126043703","https://openalex.org/W2130754596","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2294102259","https://openalex.org/W2466242877","https://openalex.org/W3138063419","https://openalex.org/W3139167831","https://openalex.org/W4210863652"],"related_works":["https://openalex.org/W3096456556","https://openalex.org/W4240253816","https://openalex.org/W2169584677","https://openalex.org/W2979513934","https://openalex.org/W4232954277","https://openalex.org/W2020341030","https://openalex.org/W2749133591","https://openalex.org/W2367473450","https://openalex.org/W2017449983","https://openalex.org/W2340724640"],"abstract_inverted_index":{"The":[0,120],"Halide":[1,18,41,88,101,118,156],"image":[2,15,29,62,140],"processing":[3,16,30,63,141],"language":[4],"has":[5],"proven":[6],"to":[7,32,103],"be":[8],"an":[9,28,80],"effective":[10],"system":[11],"for":[12,26,60,82,87,135],"authoring":[13],"high-performance":[14,58,85],"code.":[17],"programmers":[19],"need":[20],"only":[21],"provide":[22,79],"a":[23,33,136],"high-level":[24],"strategy":[25],"mapping":[27],"pipeline":[31],"parallel":[34],"machine":[35],"(a":[36],"schedule":[37],"),":[38],"and":[39,72,107,147,160],"the":[40,45,54,93,100],"compiler":[42,102],"carries":[43],"out":[44],"mechanical":[46],"task":[47],"of":[48,68,113,139],"generating":[49,84],"platform-specific":[50],"code":[51],"that":[52,143],"implements":[53],"schedule.":[55],"Unfortunately,":[56],"designing":[57],"schedules":[59,86,134,151],"complex":[61],"pipelines":[64],"requires":[65],"substantial":[66],"knowledge":[67],"modern":[69],"hardware":[70],"architecture":[71],"code-optimization":[73],"techniques.":[74],"In":[75],"this":[76],"paper":[77],"we":[78],"algorithm":[81,121],"automatically":[83,104],"programs.":[89],"Our":[90],"solution":[91],"extends":[92],"function":[94],"bounds":[95],"analysis":[96],"already":[97],"present":[98],"in":[99,131],"perform":[105],"locality":[106],"parallelism-enhancing":[108],"global":[109],"program":[110],"transformations":[111],"typical":[112],"those":[114],"employed":[115],"by":[116,154],"expert":[117,155],"developers.":[119],"does":[122],"not":[123],"require":[124],"costly":[125],"(and":[126],"often":[127,148],"impractical)":[128],"auto-tuning,":[129],"and,":[130],"seconds,":[132],"generates":[133],"broad":[137],"set":[138],"benchmarks":[142],"are":[144],"performance-competitive":[145],"with,":[146],"better":[149],"than,":[150],"manually":[152],"authored":[153],"developers":[157],"on":[158],"server":[159],"mobile":[161],"CPUs,":[162],"as":[163,165],"well":[164],"GPUs.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}