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The first one is a message-passing version executed on a cluster of workstations.
In recent years, we have witnessed a growing interest in high performance computing (HPC) using a cluster of workstations.
Replication is the key to providing high availability, fault tolerance, and enhanced performance in a cluster of workstations (COWs).
The heterogeneity of the cluster of workstations is managed by dynamically collecting load information and migrating active processes between cluster nodes to balance the load.
We used a 32-node cluster of workstations and the message passing interface (MPI) to implement our algorithms in a distributed memory environment.
Some of these algorithms were implemented on hypercubes [12], cluster of workstations [5, 7] FPGAs [2] and GPGPUs [3, 10, 14].
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Its architecture also worked well for linking clusters of workstations into systems with supercomputer capabilities.
Clusters of workstations have also been employed to host Web and Internet servers.
Media servers are usually built as clusters of workstations connected by a high-performance interconnection network.
Previous works have shown the good performance of BSP/CGM algorithms when implemented on clusters of workstations [1].
The algorithms are to be performed on clusters of workstations that communicate via a message passing mechanism.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com