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Showing 1 to 2 of 2 for “"Computational Imbalance"”.
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Scalability Analysis and Optimization for Large-Scale Deep Learning
… large systems. Even after data is moved to the computational units, managing this data is not easy. Modern DL frameworks use multiple components---such as graph scheduling, neural network training, gradient synchronization, and input pipeline processing---to process this data in an asynchronous …
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Autonomous migration of vertual machines for maximizing resource utilization
… are under-utilized over time due to varying computational demands. This computational imbalance across the cluster undermines the very purpose of maximizing resource utilization through virtualization. To solve this imbalance problem, virtual machine migration has been introduced, where a …