What Are the Challenges of Implementing Parallel Computing in Epidemiology?
While parallel computing offers significant benefits, it also comes with challenges:
Technical expertise: Requires specialized knowledge to design and manage parallel computing systems. Data management: Handling large datasets efficiently requires robust data management strategies. Cost: High-performance computing resources can be expensive to acquire and maintain. Algorithm optimization: Existing algorithms may need to be adapted for parallel execution, which can be complex.
