Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering
Kevin Assogba,
Bogdan Nicolae,
M. Mustafa Rafique
Abstract:Despite significant advances, training deep learning models remains a time-consuming and resource-intensive task. One of the key challenges in this context is the ingestion of the training data, which involves non-trivial overheads: read the training data from a remote repository, apply augmentations and transformations, shuffle the training samples, and assemble them into mini-batches. Despite the introduction of abstractions such as data pipelines that aim to hide such overheads asynchronously, it is often t… Show more
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