Question

Difference between static and dynamic data flow computers

Answer 1

Answer:

The answer to the given question is explained in the explanation.

Explanation:

A data flow architecture is a computer architecture that is in direct contrast to the traditional von Neumann architecture or control flow architecture. The data stream structure has no program counter, or (conceptually at least) the ability to execute and execute instructions is determined only on the availability of command input arguments, so, the order of execution is unpredictable: i. e. behavior is undefined.

Although there is no commercially successful general-purpose computing hardware that uses the data stream architecture, it is implemented in hardware such as digital signal processing.  , network routing, graphics processing, telemetry, and more recently data storage.  It is also well-suited to many software architectures today, including database engine designs and parallel computing frameworks. A deterministic data stream architecture allows programmers to manage complex tasks such as CPU load balancing, synchronization, and access to common resources.

Meanwhile, there is a conflict of terms, as the term data stream is used for a subfield of parallel programming: data stream programming.

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Answer 2

Answer:

• Since a data stream structure lacks a programme counter and relies solely on the presence of command inputs arguments, the order in which instructions are executed is uncertain, or the behaviour is undefined.
• A data stream architecture is implemented into hardware for digital signal processing, network routing, machines, telemetry, and much more frequently data storage even though there is no economically effective computing hardware that implements it.

Explanation:

• Additionally, it works well with many modern software architectures, such as parallel computing frameworks and database engine designs.
• Programmers may control challenging operations like CPU load balancing, synchronisation, and access to shared resources using a predictable data stream architecture.

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