Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise tens of thousands of image tiles. Prior models have often resorted to subsampling a small portion of ...

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What does DataKitchen's DataOps Data Quality TestGen do? It helps you understand and find data issues in new data. It constantly watches your data for data quality anomalies and lets you drill into ...