This project delves into the principles of parallel computing by analyzing a real-world scenario: baking a cake. It begins with a detailed task breakdown, outlining durations, start and finish times, and dependencies using a table. The project then identifies the critical path, highlighting the sequence of tasks that directly impacts the overall project duration. Calculations are performed to determine the sequential time required to complete the workflow and the maximum degree of concurrency achievable. Furthermore, the project calculates the speedup gained by implementing a parallel approach. Finally, it proposes strategies for optimizing the baking process by adding extra workers during the creaming phase, aiming to reduce overall project time and cost. The project includes a bibliography of relevant research papers.
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