{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:07:24Z","timestamp":1757617644389,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819628292"},{"type":"electronic","value":"9789819628308"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-2830-8_13","type":"book-chapter","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T19:20:25Z","timestamp":1743362425000},"page":"159-171","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["swDarknet: A Heterogeneous Parallel Deep Learning Framework Suitable for\u00a0SW26010 Pro Processor"],"prefix":"10.1007","author":[{"given":"Huazeng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoming","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meihong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zenghui","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanlong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,29]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Li, X., Wu, Y., Jiang, X., et al.: Enhancing visual document understanding with contrastive learning in large visual-language models[J]. arXiv preprint arXiv:2402.19014 (2024)","DOI":"10.1109\/CVPR52733.2024.01472"},{"key":"13_CR2","unstructured":"Yin, F., Ye, X., Durrett, G.: LoFiT: localized Fine-tuning on LLM Representations[J]. arXiv preprint arXiv:2406.01563 (2024)"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Kirillov, A., Mintun, E., Ravi, N., et al.: Segment anything. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4015\u20134026 (2023)","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., et al.: You only look once: Unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., et al.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"13_CR6","unstructured":"Chen, T., Li, M., Li, Y., et al.: Mxnet: a flexible and efficient machine learning library for heterogeneous distributed systems[J]. arXiv preprint arXiv:1512.01274 (2015)"},{"key":"13_CR7","unstructured":"Abadi, M., Agarwal, A., Barham, P., et al.: Tensorflow: large-scale machine learning on heterogeneous distributed systems[J]. arXiv preprint arXiv:1603.04467 (2016)"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Fang, J., Fu, H., Zhao, W., et al.: SWDNN: a library for accelerating deep learning applications on sunway taihulight. In: 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 615\u2013624. (2017)","DOI":"10.1109\/IPDPS.2017.20"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Li, L., Fang, J., Fu, H., et al.: SWCAFFE: a parallel framework for accelerating deep learning applications on sunway taihulight. In: 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 4133\u2013422. IEEE (2018)","DOI":"10.1109\/CLUSTER.2018.00087"},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1016\/j.ins.2020.12.079","volume":"570","author":"M Li","year":"2021","unstructured":"Li, M., Lin, H., Chen, J., et al.: swFLOW: a large-scale distributed framework for deep learning on Sunway TaihuLight supercomputer. Inf. Sci. 570, 831\u2013847 (2021)","journal-title":"Inf. Sci."},{"issue":"6","key":"13_CR11","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"13_CR12","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Robbins, H., Monro, S.: A stochastic approximation method. Ann. Math. Stat. 400\u2013407 (1951)","DOI":"10.1214\/aoms\/1177729586"},{"key":"13_CR14","unstructured":"Al-Rfou, R., Alain, G., Almahairi, A., et al.: Theano: a Python framework for fast computation of mathematical expressions[J]. arXiv e-prints. arXiv:1605.02688 (2016)"},{"key":"13_CR15","unstructured":"Paszke, A., Gross, S., Massa, F., et al.: Pytorch: an imperative style, high-performance deep learning library. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Ma, Z., He, J., Qiu, J., et al.: BaGuaLu: targeting brain scale pretrained models with over 37 million cores. In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 192\u2013204 (2022)","DOI":"10.1145\/3503221.3508417"}],"container-title":["Lecture Notes in Computer Science","Network and Parallel Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-2830-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T08:27:34Z","timestamp":1757147254000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-2830-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819628292","9789819628308"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-2830-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"29 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NPC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Network and Parallel Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"npc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}