Zheng, S., Chen, R., Jin, Y., Wei, A., Wu, B., Li, X., Yan, S., & Liang, Y. (2022). Neo Flow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training. IEEE Transactions on Parallel & Distributed Systems, 33(11), 3220-3232. https://doi.org/10.1109/TPDS.2021.3138862
ISO-690 (author-date, English)ZHENG, Size, CHEN, Renze, JIN, Yicheng, WEI, Anjiang, WU, Bingyang, LI, Xiuhong, YAN, Shengen und LIANG, Yun, 2022. Neo Flow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training. IEEE Transactions on Parallel & Distributed Systems. 1 November 2022. Vol. 33, no. 11, p. 3220-3232. DOI 10.1109/TPDS.2021.3138862.
Modern Language Association 9th editionZheng, S., R. Chen, Y. Jin, A. Wei, B. Wu, X. Li, S. Yan, und Y. Liang. „Neo Flow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training.“. IEEE Transactions on Parallel & Distributed Systems, Bd. 33, Nr. 11, November 2022, S. 3220-32, https://doi.org/10.1109/TPDS.2021.3138862.
Mohr Siebeck - Recht (Deutsch - Österreich)Zheng, Size/Chen, Renze/Jin, Yicheng/Wei, Anjiang/Wu, Bingyang/Li, Xiuhong u. a.: Neo Flow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training., IEEE Transactions on Parallel & Distributed Systems 2022, 3220-3232.
Emerald - HarvardZheng, S., Chen, R., Jin, Y., Wei, A., Wu, B., Li, X., Yan, S. und Liang, Y. (2022), „Neo Flow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training.“, IEEE Transactions on Parallel & Distributed Systems, Vol. 33 No. 11, S. 3220-3232.