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Digital solutions provide higher clock frequencies but they are commonly limited by the interconnection between the processing units, as is the case of the FPGA.
When the data set grows in size, the level of parallelism increases and a better load balance between the processing units is achieved.
This is done to eliminate any dependencies between the processing units and avoid the need for synchronization, which could severely increase the time required for the segmentation.
Due to the significant amount of data transfers between the processing units and the large and energy consuming off-chip memories, these applications are often called data-dominated or data-intensive [1].
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This computing in memory ability of the RRAM crossbar array will greatly reduce the time and energy consumption in the data shuttling process between the processing unit and memory [12], thus making RRAM crossbar arrays appealing for developing beyond traditional von Neumann computing architectures [8 10, 13, 14].
Naturally this approach imposes the drawback of time required to propagate the input data between all the processing units, but our tests with a computer cluster have shown that this time is not very significant in terms of the whole segmentation time.
It should be noted that there is a non-negligible propagation delay δ RoF between the processing unit and STAs due to the presence of the optical links.
Safe operation of the processing units.
The processing units are grouped into layers of input, hidden, and output processing units.
The processing units are arranged in layers.
Moreover, the need of centralized processing in CC-based methods puts strain on the communication link between sensors and the processing unit.
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