[{"date_created":"2025-12-12T08:17:09Z","type":"journal_article","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"issue":"2","publication":"IEEE Transactions on Parallel and Distributed Systems","language":[{"iso":"eng"}],"doi":"10.1109/tpds.2023.3340518","title":"Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment","year":"2023","author":[{"full_name":"Wu, Jing","last_name":"Wu","first_name":"Jing"},{"id":"102868","full_name":"Wang, Lin","orcid":"0000-0001-7181-6128","first_name":"Lin","last_name":"Wang"},{"last_name":"Jin","first_name":"Qirui","full_name":"Jin, Qirui"},{"first_name":"Fangming","last_name":"Liu","full_name":"Liu, Fangming"}],"publication_identifier":{"issn":["1045-9219","1558-2183","2161-9883"]},"date_updated":"2025-12-12T08:17:56Z","publication_status":"published","intvolume":"        35","citation":{"apa":"Wu, J., Wang, L., Jin, Q., &#38; Liu, F. (2023). Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment. <i>IEEE Transactions on Parallel and Distributed Systems</i>, <i>35</i>(2), 280–296. <a href=\"https://doi.org/10.1109/tpds.2023.3340518\">https://doi.org/10.1109/tpds.2023.3340518</a>","ieee":"J. Wu, L. Wang, Q. Jin, and F. Liu, “Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment,” <i>IEEE Transactions on Parallel and Distributed Systems</i>, vol. 35, no. 2, pp. 280–296, 2023, doi: <a href=\"https://doi.org/10.1109/tpds.2023.3340518\">10.1109/tpds.2023.3340518</a>.","chicago":"Wu, Jing, Lin Wang, Qirui Jin, and Fangming Liu. “Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment.” <i>IEEE Transactions on Parallel and Distributed Systems</i> 35, no. 2 (2023): 280–96. <a href=\"https://doi.org/10.1109/tpds.2023.3340518\">https://doi.org/10.1109/tpds.2023.3340518</a>.","short":"J. Wu, L. Wang, Q. Jin, F. Liu, IEEE Transactions on Parallel and Distributed Systems 35 (2023) 280–296.","mla":"Wu, Jing, et al. “Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment.” <i>IEEE Transactions on Parallel and Distributed Systems</i>, vol. 35, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 280–96, doi:<a href=\"https://doi.org/10.1109/tpds.2023.3340518\">10.1109/tpds.2023.3340518</a>.","ama":"Wu J, Wang L, Jin Q, Liu F. Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment. <i>IEEE Transactions on Parallel and Distributed Systems</i>. 2023;35(2):280-296. doi:<a href=\"https://doi.org/10.1109/tpds.2023.3340518\">10.1109/tpds.2023.3340518</a>","bibtex":"@article{Wu_Wang_Jin_Liu_2023, title={Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment}, volume={35}, DOI={<a href=\"https://doi.org/10.1109/tpds.2023.3340518\">10.1109/tpds.2023.3340518</a>}, number={2}, journal={IEEE Transactions on Parallel and Distributed Systems}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Wu, Jing and Wang, Lin and Jin, Qirui and Liu, Fangming}, year={2023}, pages={280–296} }"},"page":"280-296","_id":"63060","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","user_id":"102868","volume":35,"status":"public"}]