Cite
TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML.
MLA
Kurth, Thorsten, et al. “TensorFlow at Scale: Performance and Productivity Analysis of Distributed Training with Horovod, MLSL, and Cray PE ML.” Concurrency & Computation: Practice & Experience, vol. 31, no. 16, Aug. 2019, p. N.PAG. EBSCOhost, https://doi.org/10.1002/cpe.4989.
APA
Kurth, T., Smorkalov, M., Mendygral, P., Sridharan, S., & Mathuriya, A. (2019). TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML. Concurrency & Computation: Practice & Experience, 31(16), N.PAG. https://doi.org/10.1002/cpe.4989
Chicago
Kurth, Thorsten, Mikhail Smorkalov, Peter Mendygral, Srinivas Sridharan, and Amrita Mathuriya. 2019. “TensorFlow at Scale: Performance and Productivity Analysis of Distributed Training with Horovod, MLSL, and Cray PE ML.” Concurrency & Computation: Practice & Experience 31 (16): N.PAG. doi:10.1002/cpe.4989.