👉 Burst computing is a parallel computing technique that involves executing multiple tasks concurrently, but with varying degrees of resource allocation, to maximize efficiency and throughput. Unlike traditional parallel computing models where all processors work simultaneously on the same set of tasks, burst computing dynamically allocates resources such as CPU cores or processing units to different tasks based on their immediate needs and priorities. This approach is particularly useful in scenarios where the workload fluctuates, as it allows for rapid scaling of resources to meet peak demands without the overhead of maintaining a constant high level of resource utilization. By bursting tasks across available resources, systems can achieve higher performance and better resource management, making it an effective strategy for optimizing computational tasks in environments with variable workloads.