Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling.

MLA

Cheng, Yang, et al. “Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling.” IEEE Transactions on Parallel & Distributed Systems, vol. 32, no. 7, July 2021, pp. 1802–14. EBSCOhost, https://doi.org/10.1109/TPDS.2020.3047966.

APA

Cheng, Y., Li, D., Guo, Z., Jiang, B., Geng, J., Bai, W., Wu, J., & Xiong, Y. (2021). Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling. IEEE Transactions on Parallel & Distributed Systems, 32(7), 1802–1814. https://doi.org/10.1109/TPDS.2020.3047966

Chicago

Cheng, Yang, Dan Li, Zhiyuan Guo, Binyao Jiang, Jinkun Geng, Wei Bai, Jianping Wu, and Yongqiang Xiong. 2021. “Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling.” IEEE Transactions on Parallel & Distributed Systems 32 (7): 1802–14. doi:10.1109/TPDS.2020.3047966.