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The smartphone is a new technology that combines mobile communication and computation in a handheld-sized device, facilitating mobile computing at the point of care.
Meanwhile, it does not require high communication and computation overhead.
Madhu Sudan's research interests revolve around theoretical studies of communication and computation.
Cost analysis indicates that the CCRM has a linear communication and computation complexity.
The different algorithms discussed differ significantly in terms of their communication and computation structure.
Using communication and computation models, a comparison between expected and real performance is carried out.
The results show that different phases of diagnosis affect communication and computation overhead.
Furthermore, we show that DMW is efficient as it has polynomial communication and computation costs.
When the interference graph is sparse, the algorithm can offer substantial savings in communication and computation.
A periodic event-triggered DRHC scheme is proposed to reduce communication and computation load.
Finally, we extend the idea of overlapping communication and computation to the parallel LU factorization algorithm.
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