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The Thor cluster is implemented using a master/slave topology with a single master and multiple slave processes, which provide a parallel job execution environment for programs coded in ECL.
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Our study indicates that model execution time can be reduced by 42%70%% (or a speedup of 1.74 3.36) using multiple processes (two to five) with a proper task-distribution scheme (between the master and slave processes).
AsterixDB cluster had one master, and multiple slave nodes.
The slave processes solve work on each sub-problem independently.
Both methods evolve in parallel within a master slave architecture where the slave processes communicate through adaptive memories.
This algorithm consists of multiple slave swarms and one master swarm.
The MS communicates with multiple slave PLCs at the same time.
An architecture including a heartbeat pattern consists of a master server and multiple slave nodes.
A Hadoop cluster adopts the master slave architecture, where the master node is called the JobTracker, and the multiple slave nodes TaskTrackers.
On the other hand, each slave processes the assigned sub-problem and passes the computed result to the Master.
It also controls the slave processes that are responsible performing the actual search of the solution space.
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