BaPipe: Exploration of balanced pipeline parallelism for DNN training
The size of deep neural networks (DNNs) grows rapidly as the complexity of the machine
learning algorithm increases. To satisfy the requirement of computation and memory of DNN …
learning algorithm increases. To satisfy the requirement of computation and memory of DNN …
Scheduling distributed deep learning jobs in heterogeneous cluster with placement awareness
Deep Neural Network models are integrated as parts of many real-world software
applications. Due to the huge model size and complex computation, distributed deep …
applications. Due to the huge model size and complex computation, distributed deep …
System and method for dynamic scheduling of distributed deep learning training jobs
A scheduling algorithm for scheduling training of deep neural network (DNN) weights on
processing units identifies a next job to provisionally assign a processing unit (PU) based on …
processing units identifies a next job to provisionally assign a processing unit (PU) based on …