Jun 20, 2019 · Abstract:We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network ...
We present Placeto, a reinforcement learning (RL) approach to efficiently find de- vice placements for distributed neural network training.
We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training.
Placeto is able to learn a generalizable placement policy for any given family of graphs, which can be used without any retraining to predict optimized ...
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We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training.
Sep 11, 2024 · We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training.
This paper proposed a policy based approach to device placement. It starts with an i initialized placement and the policy learns to update the placement of ...
Jan 1, 2019 · "Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning". Advances in Neural Information Processing ...
Jun 24, 2019 · Bibliographic details on Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning.