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How to increase speed of real time system? 


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To increase the speed of a real-time system, several approaches can be taken. One method is to use a variable-speed processor that can scale its performance during voltage changes, allowing for predictable task response times . Another approach is to improve the sampling rates and processing speeds by implementing a time-interleaved architecture, which can break through the speed bottleneck of single analog-to-digital converters . Additionally, task scheduling plays a crucial role in determining the success of a real-time system, and optimizing it can lead to improved efficiency. Researchers have suggested controlling the processor frequency in an optimal manner to strike a balance between power consumption and task execution . By implementing these strategies, the speed of real-time systems can be increased while maintaining performance and energy efficiency.

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The paper discusses increasing the speed of real-time imaging by developing a new magneto-optical system with a high-speed digital camera and a powerful laser as the light source. The system also includes a special source for the external magnetic field and modifications to the cryostat to reduce eddy currents. The achieved frame rates are up to 30,000 frames per second.
The provided paper discusses the problem of scaling performance with speed variations in real-time systems. It proposes a computational model that varies task response times continuously with processor speed, enabling the system to predictably scale its performance during voltage changes. However, the paper does not provide specific instructions on how to increase the speed of a real-time system.
The provided paper does not specifically address how to increase the speed of a real-time system. It focuses on the self-adaptive calibration method for high-speed acquisition systems.

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