{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T08:04:57Z","timestamp":1761897897969,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031460760"},{"type":"electronic","value":"9783031460777"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-46077-7_34","type":"book-chapter","created":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T11:01:58Z","timestamp":1699268518000},"page":"478-485","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["On-Chip Memory Access Reduction for\u00a0Energy-Efficient Dilated Convolution Processing"],"prefix":"10.1007","author":[{"given":"Simon","family":"Friedrich","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Nalapat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Wittig","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emil","family":"Mat\u00fa\u0161","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerhard","family":"Fettweis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,7]]},"reference":[{"issue":"3","key":"34_CR1","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/MSSC.2020.3002140","volume":"12","author":"V Sze","year":"2020","unstructured":"Sze, V., Chen, Y.H., Yang, T.J., Emer, J.S.: How to evaluate deep neural network processors: TOPS\/W (Alone) considered harmful. IEEE Solid-State Circ. Mag. 12(3), 28\u201341 (2020)","journal-title":"IEEE Solid-State Circ. Mag."},{"issue":"1","key":"34_CR2","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/TCSI.2019.2942529","volume":"67","author":"KW Chang","year":"2020","unstructured":"Chang, K.W., Chang, T.S.: VWA: hardware efficient vectorwise accelerator for convolutional neural network. IEEE Trans. Circ. Syst. I Regul. Pap. 67(1), 145\u2013154 (2020)","journal-title":"IEEE Trans. Circ. Syst. I Regul. Pap."},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Du, Z., et al.: ShiDianNao: shifting vision processing closer to the sensor. In: 2015 ACM\/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA), pp. 92\u2013104 (2015)","DOI":"10.1145\/2749469.2750389"},{"issue":"10","key":"34_CR4","doi-asserted-by":"publisher","first-page":"3471","DOI":"10.1109\/TCSI.2020.2991189","volume":"67","author":"D Im","year":"2020","unstructured":"Im, D., Han, D., Choi, S., Kang, S., Yoo, H.J.: DT-CNN: an energy-efficient dilated and transposed convolutional neural network processor for region of interest based image segmentation. IEEE Trans. Circ. Syst. I Regul. Pap. 67(10), 3471\u20133483 (2020)","journal-title":"IEEE Trans. Circ. Syst. I Regul. Pap."},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Chang, K.W., Chang, T.S.: Efficient accelerator for dilated and transposed convolution with decomposition. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20135 (2020)","DOI":"10.1109\/ISCAS45731.2020.9180402"},{"issue":"3","key":"34_CR6","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1109\/TCSI.2021.3131581","volume":"69","author":"X Wu","year":"2022","unstructured":"Wu, X., Ma, Y., Wang, M., Wang, Z.: A flexible and efficient FPGA accelerator for various large-scale and lightweight CNNs. IEEE Trans. Circ. Syst. I Regul. Pap. 69(3), 1185\u20131198 (2022)","journal-title":"IEEE Trans. Circ. Syst. I Regul. Pap."},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Friedrich, S., et al.: Lightweight instruction set for flexible dilated convolutions and mixed-precision operands. In: 24th International Symposium on Quality Electronic Design (ISQED) (2023)","DOI":"10.1109\/ISQED57927.2023.10129341"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 801\u2013818 (2018)","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"34_CR9","unstructured":"Paszke, A., Chaurasia, A., Kim, S., Culurciello, E.: ENet: a deep neural network architecture for real-time semantic segmentation. arXiv:1606.02147 (2016)"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Wang, P., et al.: Understanding convolution for semantic segmentation. arXiv:1702.08502 (2018)","DOI":"10.1109\/WACV.2018.00163"},{"issue":"10","key":"34_CR11","doi-asserted-by":"publisher","first-page":"7503","DOI":"10.1109\/TGRS.2019.2913861","volume":"57","author":"K Nogueira","year":"2019","unstructured":"Nogueira, K., Dalla Mura, M., Chanussot, J., Schwartz, W.R., dos Santos, J.A.: Dynamic multicontext segmentation of remote sensing images based on convolutional networks. IEEE Trans. Geosci. Remote Sens. 57(10), 7503\u20137520 (2019)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Han, S., et al.: EIE: efficient inference engine on compressed deep neural network. In: 2016 ACM\/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA), pp. 243\u2013254 (2016)","DOI":"10.1109\/ISCA.2016.30"}],"container-title":["Lecture Notes in Computer Science","Embedded Computer Systems: Architectures, Modeling, and Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46077-7_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T11:05:31Z","timestamp":1699268731000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46077-7_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031460760","9783031460777"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46077-7_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAMOS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Embedded Computer Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Samos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"samos2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/samos-conference.com\/wp\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}