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The computer was part of a triplex processor system in order to gain reliability through redundancy.
Consistently addressing this trend poses a challenge for every embedded processor system.
Need for integration of micro-devices is emphasized to obtain a compact fuel processor system.
Our design approach results in a powerful, flexible and compact processor system.
The viability of the API is demonstrated by the performance of our implementation which achieves scalable performance on a 24 processor system.
The complete system is tested for a real image processing data, and compared with a single processor system.
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This option can be ignored when run on a single-processor system.
When run on a multi-processor system, many of the tasks can be run in parallel to reduce the execution time of the script.
Analysis of the system's suitability to this task is presented followed by actual results from a three-processor system.
The proposed framework has been illustrated using a 3-processor system and its diagnosability analysis has been carried-out.
A task may then dynamically invade currently unused processor resources in a multi-processor system to resume in parallel execution mode.
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