2 papers
cs.LG2019
Exploiting Parallelism Opportunities with Deep Learning Frameworks
Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang +2
State-of-the-art machine learning frameworks support a wide variety of design features to enable a flexible machine learning programming interface and to ease the programmability b…
cs.LG2019
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Yu Emma Wang, Gu-Yeon Wei, David Brooks
Training deep learning models is compute-intensive and there is an industry-wide trend towards hardware specialization to improve performance. To systematically benchmark deep lear…