2019
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
NeurIPS 2019poster
We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training.
2 accepted papers
We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training.
We present Park, a platform for researchers to experiment with Reinforcement Learning (RL) for computer systems. Using RL for improving the performance of systems has a lot of potential, but is also in many ways very different from, for example, using RL for games. Thus, in this work we first disc…