Eagle: Expedited device placement with automatic grouping for large models
Advanced deep neural networks with large sizes are usually trained on a mixture of devices,
including multiple CPUs and GPUs. The model training speed and efficiency are drastically …
including multiple CPUs and GPUs. The model training speed and efficiency are drastically …
Mercury: Fast and Optimal Device Placement for Large Deep Learning Models
The rapidly expanding neural network models are becoming increasingly challenging to run
on a single device. Hence, model parallelism over multiple devices is critical to …
on a single device. Hence, model parallelism over multiple devices is critical to …
Celeritas: Fast Optimizer for Large Dataflow Graphs
The rapidly enlarging neural network models are becoming increasingly challenging to run
on a single device. Hence model parallelism over multiple devices is critical to guarantee …
on a single device. Hence model parallelism over multiple devices is critical to guarantee …
Accelerate model parallel training by using efficient graph traversal order in device placement
Modern neural networks require long training to reach decent performance on massive
datasets. One common approach to speed up training is model parallelization, where large …
datasets. One common approach to speed up training is model parallelization, where large …
Device Placement Optimization with Deep Reinforcement Learning
H Lan - 2023 - search.proquest.com
With the proliferation of machine learning, deep neural networks (DNNs) have become
ubiquitous in various real-world applications, and their sizes have become increasingly …
ubiquitous in various real-world applications, and their sizes have become increasingly …
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement
Modern neural networks require long training to reach decent performance on massive
datasets. One common approach to speed up training is model parallelization, where large …
datasets. One common approach to speed up training is model parallelization, where large …