Implement concurrency #24
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The most computationally expensive tasks in this program are the cell type annotation tools. In the final product, there could be several of these tools running back-to-back, which would be a significant slow down.
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Run these tasks concurrently, most likely through the use of the multiprocessing library
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Thread-driver concurrency is not as effective in Python due to Python's GIL. Also, GPU-based acceleration will only work properly if implemented by the CTA tools, and could happen simultaneously to concurrency-based acceleration.
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