{"id":"https://openalex.org/W2296067562","doi":"https://doi.org/10.1145/1281700.1281715","title":"Pipeline spectroscopy","display_name":"Pipeline spectroscopy","publication_year":2007,"publication_date":"2007-06-13","ids":{"openalex":"https://openalex.org/W2296067562","doi":"https://doi.org/10.1145/1281700.1281715","mag":"2296067562"},"language":"en","primary_location":{"id":"doi:10.1145/1281700.1281715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281700.1281715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 workshop on Experimental computer science","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/A5017736056","display_name":"Thomas R. Puzak","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas R. Puzak","raw_affiliation_strings":["IBM -- T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM -- T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035643110","display_name":"A. Hartstein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Hartstein","raw_affiliation_strings":["IBM -- T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM -- T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022815371","display_name":"Philip Emma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. G. Emma","raw_affiliation_strings":["IBM -- T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM -- T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784873","display_name":"V. Srinivasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Srinivasan","raw_affiliation_strings":["IBM -- T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM -- T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063150637","display_name":"Arthur N\u00e1das","orcid":"https://orcid.org/0000-0002-6893-6759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arthur Nadas","raw_affiliation_strings":["NYU School of Medicine, Tuxedo, NY"],"affiliations":[{"raw_affiliation_string":"NYU School of Medicine, Tuxedo, NY","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017736056"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18888558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7713429927825928},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7053850293159485},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.6337490081787109},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6235042810440063},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5777836441993713},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5698668956756592},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4795208275318146},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.44908612966537476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1952112913131714},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09159490466117859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713429927825928},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7053850293159485},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.6337490081787109},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6235042810440063},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5777836441993713},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5698668956756592},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4795208275318146},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.44908612966537476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1952112913131714},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09159490466117859},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1281700.1281715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1281700.1281715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 workshop on Experimental computer science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1492755755","https://openalex.org/W1507795332","https://openalex.org/W1510032418","https://openalex.org/W1561896753","https://openalex.org/W1599841649","https://openalex.org/W1964191343","https://openalex.org/W2015905105","https://openalex.org/W2027694145","https://openalex.org/W2073617099","https://openalex.org/W2097150443","https://openalex.org/W2097273347","https://openalex.org/W2101865620","https://openalex.org/W2109659793","https://openalex.org/W2120692212","https://openalex.org/W2129094586","https://openalex.org/W2135059813","https://openalex.org/W2140384194","https://openalex.org/W2142098074","https://openalex.org/W2143749395","https://openalex.org/W2147889335","https://openalex.org/W2172190421","https://openalex.org/W2207094710","https://openalex.org/W2268819855","https://openalex.org/W3144376511","https://openalex.org/W4235336266","https://openalex.org/W6685464560"],"related_works":["https://openalex.org/W2167303720","https://openalex.org/W2133682266","https://openalex.org/W2497617944","https://openalex.org/W2035037799","https://openalex.org/W1971123707","https://openalex.org/W1563139915","https://openalex.org/W2109715593","https://openalex.org/W2061075966","https://openalex.org/W3147501184","https://openalex.org/W2268996566"],"abstract_inverted_index":{"Pipeline":[0],"Spectroscopy":[1],"is":[2,22,136],"a":[3,20,26,30,34,78,92,129,134,143,163],"new":[4],"technique":[5],"that":[6,76,138],"allows":[7],"us":[8],"to":[9,150,166,176],"measure":[10],"the":[11,38,48,53,63,67,70,114,121,140,152],"cost":[12,18,39],"of":[13,19,37,40,47,62,95,113,120,142,154,162],"each":[14,41,118],"cache":[15,42,83],"miss.":[16],"The":[17],"miss":[21,43,71,93,102,115,158,179],"displayed":[23],"(graphed)":[24],"as":[25],"histogram,":[27],"which":[28],"represents":[29],"precise":[31],"readout":[32],"showing":[33],"detailed":[35],"visualization":[36],"throughout":[44],"all":[45,106,110],"levels":[46,84],"memory":[49,65,79,122],"hierarchy.":[50],"We":[51,74],"call":[52],"graphs":[54],"'spectrograms'":[55],"because":[56],"they":[57],"reveal":[58],"certain":[59],"signature":[60],"characteristics":[61],"processor's":[64],"hierarchy,":[66],"pipeline,":[68],"and":[69,89,91,145,178],"pattern":[72],"itself.":[73],"show":[75],"in":[77,170],"hierarchy":[80,123],"with":[81],"N":[82],"(L1,":[85],"L2,":[86],"...,":[87],"LN,":[88],"memory)":[90],"cluster":[94,131],"size":[96],"C,":[97],"there":[98],"are":[99],"(C+N/C)":[100],"possible":[101,107,111],"penalties.":[103],"This":[104],"represent":[105],"sums":[108],"from":[109,117],"combinations":[112],"latencies":[116],"level":[119],"(L2,":[124],"L3,":[125],"...":[126],"Memory)":[127],"for":[128,156],"given":[130],"size.":[132],"Additionally,":[133],"theory":[135,149],"presented":[137],"describes":[139],"shape":[141,153],"spectrogram,":[144],"we":[146],"use":[147],"this":[148],"predict":[151],"spectrograms":[155],"larger":[157],"clusters.":[159],"Detailed":[160],"analysis":[161],"spectrograph":[164],"leads":[165],"much":[167],"greater":[168],"insight":[169],"pipeline":[171],"dynamics,":[172],"including":[173],"effects":[174],"due":[175],"prefetching,":[177],"queueing":[180],"delays.":[181]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}