Exact(3)
Its architecture consists of a scalable number of identical master processors and a configurable set of shared co-processors.
Additionally, an on-chip real-time operating system kernel is included to support transparent multi-tasking over the set of master processors.
In this case, although master processors only work for scheduling and somehow reduce scalability, the degree of the reduction of scalability is limited according to the ratio of masters to slaves, as well as the workload balance with limited synchronization costs.
Similar(57)
Of these processors, one (id_world == 0) is the master processor and the others are the workers.
The tasks depend upon (input) files which initially reside on a master processor.
The proposed approach allows to bound communication memories for different loading rates of the master processor.
The evolutionary processes, such as crossover, mutation and production are performed by the master processor.
In a genetic driver, there are typically architecture-specific portions of source code, because the master processor is the central control unit and to gain access to anything on the board usually means going through the master processor.
A device driver that is architecture-specific manages the hardware that is integrated into the master processor.
The master processor uses a single population as a simple genetic algorithm does, and distributes the tasks of fitness evaluation to slave processors.
A device driver that is generic manages hardware that is located on the board and not integrated onto the master processor.
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