Data Structure and Algorithm

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Data is acquired by the embedded system. That data may be numbers, voice data, image data etc.. This data needs to be stored. The problem comes when you have multiple streams of data coming in and you have to store them.

Algorithms helps us in doing just. They helps us in managing the Storage, Retrieval and data manipulation. There are many ways to data the said things. But the selection of different algorithms depends on the circumstances. So before implementing any algorithms we have to carefully study the present and some future circumstances( Based on past trends).

It is likely that any system designed for today’s circumstances will grow in future. So to accommodate the scalability, the designer should select the system which can incorporate all these in future.

For example: Let me consider a APU. An APU is nothing but a combination of different logic circuit that can manipulate the data. The APU can be designed around using only one full adder and all the higher functionality can be implemented in software algorithms. Or we can implement the different logical implementation such as subtractor, multiplier, integrator and differentiator etc.
You can use adder to implement multiplication.
You can use adder to implement division. As subtraction can be done by using addition. and then it can be used to implement division.

The right selection of algorithms is crucial in the initial stages of system design.
For a static system which will not be revised further it becomes even more difficult as you have to consider a lot of things.
For a dynamic update based system you can start with the algorithm which is based on the current requirement and in future you can always alter the system. But the system must update the algorithm so that had to be done prior to any modification.

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