Distributed Training Communication Overhead Calculator

Estimate communication overhead for distributed deep learning training. Calculate AllReduce gradient synchronization time across N GPUs given model size, network bandwidth, and parallelism strategy

Each component has a specific meaning:

• N GPUs given model size — The n gpus given model size recorded for the patient or scenario being assessed.
• Network bandwidth — The network bandwidth recorded for the patient or scenario being assessed.
• Parallelism strategy — The parallelism strategy recorded for the patient or scenario being assessed.

Note: Interpret the distributed training result against the clinical thresholds and context described above.

Enter the N GPUs given model size, network bandwidth, parallelism strategy for the patient or scenario you are assessing. Estimate communication overhead for distributed deep learning training. Calculate AllReduce gradient synchronization time across N GPUs given model size, network bandwidth, and parallelism strategy. Use the distributed training result to inform your clinical assessment.