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Addressing this issue is particularly challenging as Fiji is an extraordinarily extensible platform and new plugins emerge incessantly.
So far, plugin developers have typically implemented task parallelization within a particular plugin, but no universal approach has yet been incorporated into the SciJava architecture.
As the cluster-specific details are hidden in respective interface implementations, the plugins can remain extensible and technology-agnostic.
In addition, the proposed solution is highly scalable, meaning that any additional resources can be efficiently utilized.