Coleman, Cody, Zaharia, Matei, Kang, Daniel, Narayanan, Deepak, Nardi, Luigi, Zhao, Tian, Zhang, Jian, Bailis, Peter, Olukotun, Kunle, and Ré, Chris. Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. Retrieved from https://par.nsf.gov/biblio/10129642. ACM SIGOPS Operating Systems Review 53.1 Web. doi:10.1145/3352020.3352024.

Coleman, Cody, Zaharia, Matei, Kang, Daniel, Narayanan, Deepak, Nardi, Luigi, Zhao, Tian, Zhang, Jian, Bailis, Peter, Olukotun, Kunle, & Ré, Chris. Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Operating Systems Review, 53 (1). Retrieved from https://par.nsf.gov/biblio/10129642. https://doi.org/10.1145/3352020.3352024

Coleman, Cody, Zaharia, Matei, Kang, Daniel, Narayanan, Deepak, Nardi, Luigi, Zhao, Tian, Zhang, Jian, Bailis, Peter, Olukotun, Kunle, and Ré, Chris. "Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark". ACM SIGOPS Operating Systems Review 53 (1). Country unknown/Code not available. https://doi.org/10.1145/3352020.3352024. https://par.nsf.gov/biblio/10129642.

@article{osti_10129642,
place = {Country unknown/Code not available}, title = {Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark}, url = {https://par.nsf.gov/biblio/10129642}, DOI = {10.1145/3352020.3352024}, abstractNote = {}, journal = {ACM SIGOPS Operating Systems Review}, volume = {53}, number = {1}, author = {Coleman, Cody and Zaharia, Matei and Kang, Daniel and Narayanan, Deepak and Nardi, Luigi and Zhao, Tian and Zhang, Jian and Bailis, Peter and Olukotun, Kunle and Ré, Chris}, }