{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T14:29:25Z","timestamp":1787495365210,"version":"build-2736575974"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819248049","type":"print"},{"value":"9789819248056","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-4805-6_30","type":"book-chapter","created":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T13:48:19Z","timestamp":1787492899000},"page":"450-463","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hardware-Accelerated Streaming Graph Processing with\u00a0Fast Refinement"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2712-421X","authenticated-orcid":false,"given":"Jingrui","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9951-3345","authenticated-orcid":false,"given":"Qinggang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1110-6154","authenticated-orcid":false,"given":"Haoran","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4217-7886","authenticated-orcid":false,"given":"Jin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6302-813X","authenticated-orcid":false,"given":"Xiaofei","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,24]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Afarin, M., Gao, C., Rahman, S.: Commongraph: Graph analytics on evolving data. In: Proceedings of ASPLOS, pp. 133\u2013145 (2023)","DOI":"10.1145\/3575693.3575713"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Balasubramonian, R., Kahng, A.B., Muralimanohar, N., et\u00a0al.: CACTI 7: New tools for interconnect exploration in innovative off-chip memories. ACM TACO (2017) 14(2), 14:1\u201314:25 (2017)","DOI":"10.1145\/3085572"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Bindschaedler, L., Malicevic, J., Lepers, B.: Tesseract: Distributed, general graph pattern mining on evolving graphs. In: Proceedings of EuroSys, pp. 458\u2013473 (2021)","DOI":"10.1145\/3447786.3456253"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Chen, D., Gui, C., Zhang, Y., et\u00a0al.: Graphfly: Efficient asynchronous streaming graphs processing via dependency-flow. In: Proceedings of SC. pp. 45:1\u201345:14 (2022)","DOI":"10.1109\/SC41404.2022.00050"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Cheng, R., Hong, J., Kyrola, A.: Kineograph: taking the pulse of a fast-changing and connected world. In: Proceedings of EuroSys, pp. 85\u201398 (2012)","DOI":"10.1145\/2168836.2168846"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Feng, G., Ma, Z., Li, D.: Risgraph: A real-time streaming system for evolving graphs to support sub-millisecond per-update analysis at millions ops\/s. In: Proceedings of SIGMOD, pp. 513\u2013527 (2021)","DOI":"10.1145\/3448016.3457263"},{"key":"30_CR7","unstructured":"Leskovec, J., Krevl, A.: Snap datasets: Stanford large network dataset collection (2014). http:\/\/snap.stanford.edu\/data\/index.html"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Mariappan, M., Vora, K.: Graphbolt: Dependency-driven synchronous processing of streaming graphs. In: Proceedings of EuroSys, pp. 25:1\u201325:16 (2019)","DOI":"10.1145\/3302424.3303974"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Murray, D.G., McSherry, F., Isaacs, R., et\u00a0al.: Naiad: A timely dataflow system. In: Proceedings of SOSP, pp. 439\u2013455 (2013)","DOI":"10.1145\/2517349.2522738"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Prakash, C., Lee, J., Turner, Y.: Pga: Using graphs to express and automatically reconcile network policies. In: Proceedings of SIGCOMM, pp. 29\u201342 (2015)","DOI":"10.1145\/2785956.2787506"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Rahman, S., Abu-Ghazaleh, N.B., Gupta, R.: Graphpulse: An event-driven hardware accelerator for asynchronous graph processing. In: Proceedings of MICRO, pp. 908\u2013921 (2020)","DOI":"10.1109\/MICRO50266.2020.00078"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Rahman, S., Afarin, M., Abu-Ghazaleh, N.B.: Jetstream: Graph analytics on streaming data with event-driven hardware accelerator. In: Proceedings of MICRO, pp. 1091\u20131105 (2021)","DOI":"10.1145\/3466752.3480126"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Rodrigues, A.F., Hemmert, K.S., Barrett, B.W., et\u00a0al.: The structural simulation toolkit. PER 2011 38(4), 37\u201342 (2011)","DOI":"10.1145\/1964218.1964225"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Rosenfeld, P., Cooper-Balis, E., Jacob, B.: Dramsim2: A cycle accurate memory system simulator. CAL 10(1), 16\u201319 (2011)","DOI":"10.1109\/L-CA.2011.4"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Shi, X., Cui, B., Shao, Y.: Tornado: A system for real-time iterative analysis over evolving data. In: Proceedings of SIGMOD, pp. 417\u2013430 (2016)","DOI":"10.1145\/2882903.2882950"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Vora, K., Gupta, R., Xu, G.: Kickstarter: Fast and accurate computations on streaming graphs via trimmed approximations. In: Proceedings of ASPLOS, pp. 237\u2013251 (2017)","DOI":"10.1145\/3037697.3037748"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Wang, P., Li, C., Wang, J., et\u00a0al.: Skywalker: Efficient alias-method-based graph sampling and random walk on gpus. In: Proceedings of PACT, pp. 304\u2013317 (2021)","DOI":"10.1109\/PACT52795.2021.00029"},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Wang, Q., Zheng, L., Huang, Y.: Grasu: A fast graph update library for fpga-based dynamic graph processing. In: Proceedings of FPGA, pp. 149\u2013159 (2021)","DOI":"10.1145\/3431920.3439288"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Yan, M., Hu, X., Li, S.: Alleviating irregularity in graph analytics acceleration: a hardware\/software co-design approach. In: Proceedings of MICRO, pp. 615\u2013628 (2019)","DOI":"10.1145\/3352460.3358318"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Zhao, J., Yang, Y., Zhang, Y.: Tdgraph: a topology-driven accelerator for high-performance streaming graph processing. In: Proceedings of ISCA, pp. 116\u2013129 (2022)","DOI":"10.1145\/3470496.3527409"}],"container-title":["Lecture Notes in Computer Science","Advanced Parallel Processing Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-4805-6_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T13:48:23Z","timestamp":1787492903000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-4805-6_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,24]]},"ISBN":["9789819248049","9789819248056"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-4805-6_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,24]]},"assertion":[{"value":"24 August 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APPT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Advanced Parallel Processing Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brussels","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"appt2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.appt-conference.com\/2026","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}