{"id":"https://openalex.org/W4415250774","doi":"https://doi.org/10.1109/hpec67600.2025.11196178","title":"Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs","display_name":"Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4415250774","doi":"https://doi.org/10.1109/hpec67600.2025.11196178"},"language":"en","primary_location":{"id":"doi:10.1109/hpec67600.2025.11196178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec67600.2025.11196178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE High Performance Extreme Computing Conference (HPEC)","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":null,"display_name":"Anvitha Ramachandran","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anvitha Ramachandran","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060605073","display_name":"Dhruv Parikh","orcid":"https://orcid.org/0009-0003-9767-2275"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhruv Parikh","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113655787","display_name":"Viktor Prasanna","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viktor Prasanna","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27471749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9945999979972839,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5404000282287598},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49050000309944153},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4514999985694885},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4438000023365021},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3919999897480011},{"id":"https://openalex.org/keywords/heap","display_name":"Heap (data structure)","score":0.38909998536109924},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.38449999690055847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3747999966144562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8095999956130981},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5878999829292297},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5404000282287598},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49050000309944153},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C134757568","wikidata":"https://www.wikidata.org/wiki/Q274089","display_name":"Heap (data structure)","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.38449999690055847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32919999957084656},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29319998621940613},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2776277307","wikidata":"https://www.wikidata.org/wiki/Q22074755","display_name":"Stratix","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec67600.2025.11196178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec67600.2025.11196178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE High Performance Extreme Computing Conference (HPEC)","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":27,"referenced_works":["https://openalex.org/W2610837079","https://openalex.org/W2766856748","https://openalex.org/W2963076818","https://openalex.org/W3099141824","https://openalex.org/W4327503237","https://openalex.org/W4363647715","https://openalex.org/W4380740358","https://openalex.org/W4381327585","https://openalex.org/W4385815503","https://openalex.org/W4385960790","https://openalex.org/W4386568606","https://openalex.org/W4386764001","https://openalex.org/W4390871917","https://openalex.org/W4390873987","https://openalex.org/W4390992041","https://openalex.org/W4393407124","https://openalex.org/W4402193767","https://openalex.org/W4402754254","https://openalex.org/W4402903991","https://openalex.org/W4402969083","https://openalex.org/W4405718104","https://openalex.org/W4407247797","https://openalex.org/W4408222700","https://openalex.org/W4409729762","https://openalex.org/W4413147804","https://openalex.org/W4413393364","https://openalex.org/W7089207261"],"related_works":[],"abstract_inverted_index":{"Vision":[0],"Graph":[1,31],"Neural":[2],"Networks":[3],"(Vision":[4],"GNNs,":[5],"or":[6,99],"ViGs)":[7],"represent":[8],"images":[9],"as":[10,21],"unstructured":[11],"graphs,":[12],"achieving":[13],"state-of-the-art":[14],"performance":[15],"in":[16,49,121],"computer":[17],"vision":[18,176],"tasks":[19],"such":[20],"image":[22,35,74,160],"classification,":[23],"object":[24],"detection,":[25],"and":[26,45,134,142,165,168,170,196,201,207],"instance":[27],"segmentation.":[28],"Dynamic":[29],"Image":[30],"Construction":[32],"(DIGC)":[33],"builds":[34],"graphs":[36],"by":[37],"connecting":[38],"patches":[39],"(nodes)":[40],"based":[41],"on":[42,147],"feature":[43,57],"similarity,":[44],"is":[46],"dynamically":[47],"repeated":[48],"each":[50],"ViG":[51,66,162],"layer":[52,163],"following":[53],"GNN-based":[54],"patch":[55],"(node)":[56],"updates.":[58],"However,":[59],"DIGC":[60,172,209],"constitutes":[61],"over":[62,204],"50%":[63],"of":[64],"end-to-end":[65],"inference":[67],"latency,":[68],"rising":[69],"to":[70,187,199],"95%":[71],"at":[72],"high":[73,181],"resolutions,":[75,161],"making":[76],"it":[77],"the":[78,188],"dominant":[79],"computational":[80],"bottleneck.":[81],"While":[82],"hardware":[83],"acceleration":[84],"holds":[85],"promise,":[86],"prior":[87],"works":[88],"primarily":[89],"optimize":[90],"graph":[91],"construction":[92],"algorithmically,":[93],"often":[94],"compromising":[95],"DIGC\u2019s":[96],"flexibility,":[97],"accuracy,":[98],"generality.To":[100],"address":[101],"these":[102],"limitations,":[103],"we":[104],"propose":[105],"a":[106],"streaming,":[107],"deeply":[108],"pipelined":[109],"FPGA":[110],"accelerator":[111],"for":[112],"DIGC,":[113],"featuring":[114],"on-chip":[115],"buffers":[116],"that":[117],"process":[118],"input":[119,149],"features":[120],"small,":[122],"uniform":[123],"blocks.":[124],"Our":[125],"design":[126,179],"minimizes":[127],"external":[128],"memory":[129],"traffic":[130],"via":[131,151],"localized":[132],"computation":[133],"performs":[135],"efficient":[136],"parallel":[137],"sorting":[138],"with":[139],"local":[140],"merge-sort":[141],"global":[143],"k-way":[144],"merging":[145],"directly":[146],"streaming":[148],"blocks":[150],"heap":[152],"insertion.":[153],"This":[154],"modular":[155],"architecture":[156],"scales":[157],"seamlessly":[158],"across":[159,173],"types,":[164],"model":[166],"sizes":[167],"variants,":[169],"supports":[171],"diverse":[174],"ViG-based":[175],"backbones.":[177],"The":[178],"achieves":[180],"clock":[182],"frequencies":[183],"post":[184],"place-and-route":[185],"due":[186],"statically":[189],"configured":[190],"parallelism":[191],"minimizing":[192],"critical":[193],"path":[194],"delay":[195],"delivers":[197],"up":[198],"16.6\u00d7":[200],"6.8\u00d7":[202],"speedups":[203],"optimized":[205],"CPU":[206],"GPU":[208],"baselines.":[210]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-16T00:00:00"}
