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Currently each task handles it's own parallelisation as best it can. This makes it somewhat problematic to set-up the processing environment, since each task must be configured independently. It would be more elegant if all tasks used a single Executor for their work. This would be also be an important stepping stone towards more generalised processing backends; for each to allow processing to be farmed out to a MapReduce infrastructure.
The text was updated successfully, but these errors were encountered:
Currently each task handles it's own parallelisation as best it can. This makes it somewhat problematic to set-up the processing environment, since each task must be configured independently. It would be more elegant if all tasks used a single Executor for their work. This would be also be an important stepping stone towards more generalised processing backends; for each to allow processing to be farmed out to a MapReduce infrastructure.
The text was updated successfully, but these errors were encountered: