pytorch.org
URL: pytorch.org
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The website discusses the implementation of experimental async tensor parallelism support in PyTorch, integrated in TorchTitan. The authors observed significant speedups in forward pass and end-to-end processing in large-scale LLM training models. They introduce the concept of tensor parallelism (TP) as a model parallelism technique crucial for scaling computations across multiple GPUs. The site also explains async tensor parallelism as an optimization to address communication efficiency challenges by overlapping dependent communication and computation operators.
Added on: October 4, 2025
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Josephr Nov 11, 2025
How does async tensor parallelism in PyTorch impact the training time of deep learning models compared to traditional parallelism techniques?
Alex Brown Oct 24, 2025
How does async tensor parallelism in PyTorch compare to other model parallelism techniques for scaling computations across multiple GPUs?
Mia Smith Oct 9, 2025
Can you provide examples of specific models that have benefited from the async tensor parallelism support in PyTorch?