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Pipelining is a well understood and often used implementation technique for increasing the performance of a hardware system.
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To further improve the execution performance of the PSO, a hardware random number generator (RNG) is also designed in this paper in addition to a particle re-initialization scheme to promote exploration search during the optimization process.
In order to test the actual performance of the system, a hardware platform of strap-down AHRS is designed, based on a three-axis gyroscope, a three-axis accelerometer, three-axis magnetic sensors and a Digital Signal Processor (DSP).
This chapter describes the way various aspects of the hardware impact the actual performance of a computer system and how hardware-software partitioning decisions affect performance.
Hardware-in-the-loop simulations can also be performed in order to assess the performance of the control hardware against a plant simulator.
The starred curve shows the performance of the Hardware implementation.
Since the performance of computer hardware has incredibly been improved, these methods could easily be deciphered.
Section 5 compares the simulated results to the performance of the hardware implementation.
NPs influence the flexibility of software solutions with the high performance of custom hardware.
The necessary performance of system hardware components to achieve significant improvements is described.
Furthermore, we show how rewriting based simulation may be used for evaluating the performance of important hardware aspects of processors.
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