This illustration explains the fundamental distinction between concurrency and parallelism in computer systems with the help of task execution flow. On the left side, concurrency is shown, where a single microprocessor core handles multiple tasks by switching between them very quickly. Here, the CPU does not run all tasks at the exact same time, but instead divides its time efficiently, so each task makes progress in small steps. This creates the illusion of simultaneous execution, which is espe
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This illustration explains the fundamental distinction between concurrency and parallelism in computer systems with the help of task execution flow. On the left side, concurrency is shown, where a single microprocessor core handles multiple tasks by switching between them very quickly. Here, the CPU does not run all tasks at the exact same time, but instead divides its time efficiently, so each task makes progress in small steps. This creates the illusion of simultaneous execution, which is espe
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Concurrency vs Parallelism - They are NOT the same 𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲: Concurrency means an application is making progress on multiple tasks at the same time. While a single CPU core can handle only one task at a time, it achieves concurrency by rapidly switching between tasks. Example: Listening to music while writing code. The CPU quickly switches between these tasks so efficiently that it feels like both are happening at once. The primary goal of concurrency is to maximize CPU utilization
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Concurrency vs Parallelism - They are NOT the same 𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲: Concurrency means an application is making progress on multiple tasks at the same time. While a single CPU core can handle only one task at a time, it achieves concurrency by rapidly switching between tasks. Example: Listening to music while writing code. The CPU quickly switches between these tasks so efficiently that it feels like both are happening at once. The primary goal of concurrency is to maximize CPU utilization
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