What is Data parallelism?
Distributed training in which each GPU holds a full model replica, processes its share of the data, and gradients are averaged across GPUs before updating.
Field: AI Hardware & Software Stack
Data parallelism in the explanations
In data parallelism, every GPU holds the same model, the training batch is divided among them, and each performs forward and backward passes.
Which describes data parallelism in multi-GPU training?GPUs assign the same work to thousands of threads running in parallel, so they excel at tasks where many elements can be computed independently (data parallelism), such as per-pixel image processing, matrix multiplication and vector operations.
Which characteristic best describes work that GPUs process …
Questions that mention Data parallelism (2)
Related terms
GPU All-reduce AI compiler AI inference Arithmetic intensity Attention mechanism Backpropagation Batch size Computational graph FlashAttention