{"id":"https://openalex.org/W3005846729","doi":"https://doi.org/10.13016/0b8v-efj8","title":"Model-Based Design for High-Performance Signal Processing Applications","display_name":"Model-Based Design for High-Performance Signal Processing Applications","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3005846729","doi":"https://doi.org/10.13016/0b8v-efj8","mag":"3005846729"},"language":"en","primary_location":{"id":"mag:3005846729","is_oa":false,"landing_page_url":"https://drum.lib.umd.edu/handle/1903/25421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.13016/0b8v-efj8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102887247","display_name":"Jiahao Wu","orcid":"https://orcid.org/0000-0003-2053-562X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wu, Jiahao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5102887247"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9779000282287598,"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/T13286","display_name":"Modeling and Simulation Systems","score":0.9025999903678894,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.481876939535141},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4697561264038086},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3386612832546234},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.23660221695899963},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16376736760139465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.481876939535141},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4697561264038086},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3386612832546234},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.23660221695899963},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16376736760139465}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:3005846729","is_oa":false,"landing_page_url":"https://drum.lib.umd.edu/handle/1903/25421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"doi:10.13016/0b8v-efj8","is_oa":true,"landing_page_url":"https://doi.org/10.13016/0b8v-efj8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Collection"}],"best_oa_location":{"id":"doi:10.13016/0b8v-efj8","is_oa":true,"landing_page_url":"https://doi.org/10.13016/0b8v-efj8","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Collection"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2924195160","https://openalex.org/W1847585434","https://openalex.org/W281077596","https://openalex.org/W2182690549","https://openalex.org/W2599724255","https://openalex.org/W2462376333","https://openalex.org/W2884981032","https://openalex.org/W3082768429","https://openalex.org/W2337853718","https://openalex.org/W2124957930","https://openalex.org/W1997430602","https://openalex.org/W2485446459","https://openalex.org/W248178100","https://openalex.org/W2945152521","https://openalex.org/W3163880614","https://openalex.org/W2264933684","https://openalex.org/W3129423047","https://openalex.org/W2623933466","https://openalex.org/W2133176929","https://openalex.org/W2376083156"],"abstract_inverted_index":{"Developing":[0],"high-performance":[1,36,243,426],"signal":[2,9,37,90,119,134,163,192,427,463,591],"processing":[3,10,26,38,43,50,91,120,164,254,428,464,592],"applications":[4,92,121,245],"requires":[5],"not":[6],"only":[7],"effective":[8],"algorithms":[11],"but":[12],"also":[13],"efficient":[14,337,572],"software":[15],"design":[16,159,172,180,187,195,213,217,381,418,422,547,586],"methods":[17],"that":[18,127,249,257,317,361,477],"can":[19,128],"take":[20],"full":[21],"advantage":[22],"of":[23,32,88,104,162,177,253,275,281,302,311,358,375,410,425,460,532,537,561,584,599],"the":[24,59,86,94,229,295,303,320,356,373,378,421,461,470,487,509,519,535,549,562,575,585,597,603,608],"available":[25],"resources.":[27],"An":[28],"increasingly":[29],"important":[30],"type":[31],"hardware":[33],"platform":[34],"for":[35,82,110,155,189,238,242,339,394,404,420,438,571,590,606,615],"is":[39,80,318,498],"a":[40,48,107,116,146,169,222,267,287,312,400,416,454],"multicore":[41,448],"central":[42],"unit":[44,51],"(CPU)":[45,61],"combined":[46],"with":[47,261,412,565],"graphics":[49],"(GPU)":[52],"accelerator.":[53],"Efficiently":[54],"coordinating":[55],"computations":[56],"on":[57,208,246,486,574],"both":[58,607],"host":[60],"and":[62,65,93,153,160,174,203,215,256,335,345,377,399,423,444,481,504,587,610,612],"device":[63],"(GPU),":[64],"managing":[66],"host-device":[67],"data":[68],"transfers":[69],"are":[70,122,219,305,569],"critical":[71],"to":[72,149,270,293,315,329,414,447,508,522,534],"utilizing":[73],"CPU-GPU":[74,209,538,550,577],"platforms":[75,539],"effectively.":[76,298],"However,":[77,264],"such":[78,115],"coordination":[79],"challenging":[81],"system":[83,440,515,528,593],"designers,":[84],"given":[85,462],"complexity":[87],"modern":[89],"stringent":[95],"constraints":[96],"under":[97],"which":[98,284,568],"they":[99],"must":[100,362],"operate.":[101],"Dataflow":[102],"models":[103],"computation":[105],"provide":[106,184],"useful":[108,147],"framework":[109],"addressing":[111],"this":[112,544],"challenge.":[113],"In":[114],"modeling":[117],"approach,":[118],"represented":[123],"as":[124,132,201,307,452,506],"directed":[125],"graphs":[126,334,341],"be":[129,259,363],"viewed":[130],"intuitively":[131],"high-level":[133,139,198],"flow":[135,188,196,214],"diagrams.":[136],"The":[137,194,211,299,348,466,513],"formal,":[138],"abstraction":[140],"provided":[141,296,352,505],"by":[142,221,353,500],"dataflow":[143,199,276,333,458,471,558],"principles":[144],"provides":[145,435,482],"foundation":[148],"investigate":[150],"model-based":[151,171,282,350,380,439,546],"analysis":[152],"optimization":[154],"new":[156,170,417,545],"challenges":[157],"in":[158,286,516],"implementation":[161,424,588],"systems.":[165,429],"This":[166,430,495,579],"thesis":[167,304],"presents":[168],"methodology":[173,218,382],"an":[175,185,390,474,556],"evolution":[176],"three":[178],"novel":[179,327,436],"tools.":[181],"These":[182],"contributions":[183,301],"automated":[186],"high":[190],"performance":[191],"processing.":[193],"takes":[197,451],"representations":[200],"input":[202,453,507],"systematically":[204],"derives":[205],"optimized":[206,570],"implementations":[207],"platforms.":[210,449],"proposed":[212],"associated":[216,379],"inspired":[220],"previously-developed":[223],"application":[224,332,393,403,491,563],"programming":[225],"interface":[226],"(API)":[227],"called":[228,319,432],"Hybrid":[230],"Task":[231],"Graph":[232],"Scheduler":[233],"(HTGS).":[234],"HTGS":[235,265,316,321,368,413],"was":[236],"developed":[237],"implementing":[239],"scalable":[240],"workflows":[241],"computing":[244],"compute":[247],"nodes":[248],"have":[250,371],"large":[251,395],"numbers":[252],"cores,":[255],"may":[258],"equipped":[260],"multiple":[262],"GPUs.":[263],"has":[266],"limitation":[268],"due":[269],"its":[271],"relatively":[272],"loose":[273],"use":[274],"techniques":[277],"(or":[278],"other":[279],"forms":[280],"design),":[283],"results":[285],"significant":[288],"designer":[289],"effort":[290],"being":[291],"required":[292],"apply":[294],"APIs":[297],"main":[300],"summarized":[306],"follows:":[308],"(1)":[309],"Development":[310],"companion":[313],"tool":[314,419,467,548],"Model-based":[322],"Engine":[323,552],"(HMBE).":[324],"HMBE":[325,354,376,411,450,533],"introduces":[326],"capabilities":[328,437],"automatically":[330],"analyze":[331],"generate":[336],"schedules":[338],"these":[340],"through":[342,383],"hybrid":[343],"compile-time":[344,503],"runtime":[346,511,514],"analysis.":[347],"systematic,":[349],"approaches":[351],"enable":[355],"automation":[357],"complex":[359,582],"tasks":[360,492],"performed":[364],"manually":[365],"when":[366],"using":[367],"alone.":[369],"We":[370,542],"demonstrated":[372],"effectiveness":[374],"extensive":[384],"experiments":[385],"involving":[386],"two":[387],"case":[388],"studies:":[389],"image":[391],"stitching":[392],"scale":[396],"microscopy":[397],"images,":[398],"background":[401],"subtraction":[402],"multispectral":[405],"video":[406],"streams.":[407],"(2)":[408],"Integration":[409],"develop":[415],"tool,":[431],"HMBE-Integrated-HTGS":[433],"(HI-HTGS),":[434],"design,":[441],"memory":[442,604],"management,":[443],"scheduling":[445,525],"targeted":[446,576],"single-":[455],"or":[456],"multi-dimensional":[457],"model":[459,472],"application.":[465],"then":[468],"expands":[469],"into":[473],"expanded":[475,496,520],"representation":[476,497,521,560],"exposes":[478],"more":[479,484],"parallelism":[480],"significantly":[483],"detail":[485],"interactions":[488],"between":[489],"different":[490],"(dataflow":[493],"actors).":[494],"derived":[499],"HI-HTGS":[501,510],"at":[502],"system.":[512],"turn":[517],"applies":[518],"guide":[523],"dynamic":[524],"decisions":[526],"throughout":[527],"execution.":[529],"(3)":[530],"Extension":[531],"class":[536],"motivated":[540],"above.":[541],"call":[543],"Model-Based":[551],"(CGMBE).":[553],"CGMBE":[554],"uses":[555],"unfolded":[557],"graph":[559],"along":[564],"thread-pool-based":[566],"executors,":[567],"operation":[573],"platform.":[578],"approach":[580],"automates":[581],"aspects":[583],"process":[589],"designers":[594],"while":[595],"maximizing":[596],"utilization":[598],"computational":[600],"power,":[601],"reducing":[602],"footprint":[605],"CPU":[609],"GPU,":[611],"facilitating":[613],"experimentation":[614],"tuning":[616],"performance-oriented":[617],"designs.":[618]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
