{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:16:35Z","timestamp":1759364195817,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032027245","type":"print"},{"value":"9783032027252","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-02725-2_12","type":"book-chapter","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:39:46Z","timestamp":1759279186000},"page":"153-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RECS: A Scalable Platform for\u00a0Heterogeneous AI Acceleration in\u00a0the\u00a0Cloud-Edge Continuum"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5565-9141","authenticated-orcid":false,"given":"Ren\u00e9","family":"Griessl","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2401-7862","authenticated-orcid":false,"given":"Florian","family":"Porrmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2717-5147","authenticated-orcid":false,"given":"Kevin","family":"Mika","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7339-2541","authenticated-orcid":false,"given":"Lennart","family":"Tigges","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9943-8081","authenticated-orcid":false,"given":"Jens","family":"Hagemeyer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"12_CR1","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: YOLOv4: optimal speed and accuracy of object detection (2020)"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Ciznicki, M., Kopta, P., Kulczewski, M., Kurowski, K., Gepner, P.: Elliptic solver performance evaluation on modern hardware architectures. In: Parallel Processing and Applied Mathematics, pp. 155\u2013165. Springer (2013)","DOI":"10.1007\/978-3-642-55224-3_16"},{"key":"12_CR3","doi-asserted-by":"publisher","unstructured":"Griessl, R., Porrmann, F., Kucza, N., Mika, K., Hagemeyer, J., et. al.: Evaluation of heterogeneous AIoT accelerators within VEDLIoT. In: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.\u00a01\u20136. IEEE, April 2023. https:\/\/doi.org\/10.23919\/DATE56975.2023.10137021","DOI":"10.23919\/DATE56975.2023.10137021"},{"key":"12_CR4","unstructured":"HAILO: Hailo-8\u2122 KI Prozessor, https:\/\/hailo.ai\/de\/products\/hailo-8\/"},{"key":"12_CR5","doi-asserted-by":"publisher","unstructured":"Kaiser, M., Griessl, R., Hagemeyer, J., et. al.: VEDLIoT: very efficient deep learning in IoT. In: Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 (2022). https:\/\/doi.org\/10.23919\/DATE54114.2022.9774653","DOI":"10.23919\/DATE54114.2022.9774653"},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"93755","DOI":"10.1109\/ACCESS.2025.3574492","volume":"13","author":"N Kucza","year":"2025","unstructured":"Kucza, N., Porrmann, F., Stollenwerk, C., Hagemeyer, J.: Efficient Edge AI for next generation smart mirror applications. IEEE Access 13, 93755\u201393774 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3574492","journal-title":"IEEE Access"},{"key":"12_CR7","doi-asserted-by":"publisher","unstructured":"Mika, K., Griessl, R., Hagemeyer, J., et. al.: VEDLIoT: next generation accelerated AIoT systems and applications. In: Proceedings of the 20th ACM International Conference on Computing Frontiers, CF 2023, pp. 291\u2013296. ACM, New York, NY, USA (2023). https:\/\/doi.org\/10.1145\/3587135.3592175","DOI":"10.1145\/3587135.3592175"},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-319-92792-3_6","volume-title":"Hardware Accelerators in Data Centers","author":"A Oleksiak","year":"2019","unstructured":"Oleksiak, A., et al.: M2DC\u2014a novel heterogeneous hyperscale Microserver platform. In: Kachris, C., Falsafi, B., Soudris, D. (eds.) Hardware Accelerators in Data Centers, pp. 109\u2013128. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-92792-3_6"},{"key":"12_CR9","doi-asserted-by":"publisher","unstructured":"Oleksiak, A., et. al.: M2DC \u2013 modular Microserver DataCentre with heterogeneous hardware. Microprocessors and Microsystems (2017). https:\/\/doi.org\/10.1016\/j.micpro.2017.05.019","DOI":"10.1016\/j.micpro.2017.05.019"},{"key":"12_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92792-3","volume-title":"Hardware Accelerators in Data Centers","year":"2019","unstructured":"Kachris, C., Falsafi, B., Soudris, D. (eds.): Hardware Accelerators in Data Centers. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-92792-3"},{"key":"12_CR11","doi-asserted-by":"publisher","unstructured":"Task Force 3: architecture - developing a reference architecture for the continuum - concept, taxonomy and building blocks, October 2023. https:\/\/doi.org\/10.5281\/zenodo.8403593","DOI":"10.5281\/zenodo.8403593"},{"key":"12_CR12","doi-asserted-by":"publisher","unstructured":"Open Continuum \/ EUCloudEdgeIoT task force 3 - compositional view of the continuum reference architecture: graphical representation of common and potential capabilities, June 2024. https:\/\/doi.org\/10.5281\/zenodo.11656784","DOI":"10.5281\/zenodo.11656784"},{"key":"12_CR13","doi-asserted-by":"publisher","unstructured":"Open Continuum \/ EUCloudEdgeIoT task force 3 - functional view of the continuum reference architecture: minimum set of expected functionalities, June 2024. https:\/\/doi.org\/10.5281\/zenodo.11656674","DOI":"10.5281\/zenodo.11656674"},{"key":"12_CR14","unstructured":"PICMG consortium: COM HPC overview, https:\/\/www.picmg.org\/openstandards\/com-hpc\/"},{"key":"12_CR15","doi-asserted-by":"publisher","unstructured":"Rossini, R., Lopez, L.: Towards an European open continuum reference stack and architecture. In: 2024 9th International Conference on Smart and Sustainable Technologies (SpliTech), pp.\u00a01\u20135 (2024). https:\/\/doi.org\/10.23919\/SpliTech61897.2024.10612388","DOI":"10.23919\/SpliTech61897.2024.10612388"},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Salami, B., et. al.: LEGaTO: low-energy, secure, and resilient toolset for heterogeneous computing. In: Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 (2020). https:\/\/doi.org\/10.23919\/DATE48585.2020.9116362","DOI":"10.23919\/DATE48585.2020.9116362"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02725-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:39:47Z","timestamp":1759279187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02725-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9783032027245","9783032027252"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02725-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"A Coru\u00f1a","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}