Wang, Shaoqi, Gonzalez, Oscar J., Zhou, Xiaobo, Williams, Thomas, Friedman, Brian D., Havemann, Martin, and Woo, Thomas. An Efficient and Non-Intrusive GPU Scheduling Framework for Deep Learning Training Systems. Retrieved from https://par.nsf.gov/biblio/10225359. SC20: International Conference for High Performance Computing, Networking, Storage and Analysis . Web. doi:10.1109/SC41405.2020.00094.

Wang, Shaoqi, Gonzalez, Oscar J., Zhou, Xiaobo, Williams, Thomas, Friedman, Brian D., Havemann, Martin, & Woo, Thomas. An Efficient and Non-Intrusive GPU Scheduling Framework for Deep Learning Training Systems. SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, (). Retrieved from https://par.nsf.gov/biblio/10225359. https://doi.org/10.1109/SC41405.2020.00094

Wang, Shaoqi, Gonzalez, Oscar J., Zhou, Xiaobo, Williams, Thomas, Friedman, Brian D., Havemann, Martin, and Woo, Thomas. "An Efficient and Non-Intrusive GPU Scheduling Framework for Deep Learning Training Systems". SC20: International Conference for High Performance Computing, Networking, Storage and Analysis (). Country unknown/Code not available. https://doi.org/10.1109/SC41405.2020.00094. https://par.nsf.gov/biblio/10225359.

@article{osti_10225359,
place = {Country unknown/Code not available}, title = {An Efficient and Non-Intrusive GPU Scheduling Framework for Deep Learning Training Systems}, url = {https://par.nsf.gov/biblio/10225359}, DOI = {10.1109/SC41405.2020.00094}, abstractNote = {}, journal = {SC20: International Conference for High Performance Computing, Networking, Storage and Analysis}, author = {Wang, Shaoqi and Gonzalez, Oscar J. and Zhou, Xiaobo and Williams, Thomas and Friedman, Brian D. and Havemann, Martin and Woo, Thomas}, editor = {null} }