Distributed Deep Learning and Model Parallelism Publication Trend The graph below shows the total number of publications each year in Distributed Deep Learning and Model Parallelism.

We will see how, if we use distributed objects as the basis ofdistributed processing, we can apply proven object oriented designtechniques with little modification instead of partitioning oursoftware ...

We selected 20 watersheds at HUC 12 level with different degrees of urbanization and performed hydrologic simulation using a distributed object-oriented rainfall and runoff simulation model. We ...