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Due to visiting data once during the processing data in stream, the performance of processing data is crucial.
On the contrary, cycles/byte, which express the cycles needed to deal with one byte, is an opposite metric to measure the performance of processing speed.
This main property of data stream will be associated with some difficulties in clustering data stream (due to clustering is the focus task in this paper) which include: 1. Due to visiting data once during the processing data in stream, the performance of processing data is crucial.
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In the former, the knowledge of sensor positions may play an important role in aiding the interpretation of the recorded data or in improving the performance of signal processing algorithms such as in array processing [7].
This choice has the further advantage of assessing the performance of each processing step separately.
However, the inner PDA iterations degrade the performance of turbo processing [12] despite of the increasing complexity.
This paper presents a new general-relativistic ray tracer that enables image synthesis on an interactive basis by exploiting the performance of graphics processing units (GPUs).
Example 1 shows a situation where true eigenvalues and eigenfunctions are available and aims at comparing the performance of WL processing in relation to SL processing.
We use the measure I = ∫ 0 1 P SL ( t ) d t ∫ 0 1 P WL ( t ) d t. which is closely related to the performance measure considered in [29], to compare the performance of WL processing in relation to SL processing.
There are many factors (like geometric variables of machine and bamboo, variation in angular speed, processing torque and variation in current) affecting the performance of bamboo processing machine.
Further, we have compared the performance of our processing engine to that of two widely used NPUs and show that our proposed packet-processing engine can run specific applications up to three times faster.
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