👉 Undercomputing refers to the practice of intentionally using less computing power than necessary to solve a problem or perform a task, often to reduce costs, minimize energy consumption, or optimize performance in resource-constrained environments. This approach can involve simplifying algorithms, reducing model complexity, or leveraging more efficient hardware. While undercomputing may not always achieve the highest possible performance, it can be crucial in scenarios where computational resources are limited, such as in embedded systems, mobile devices, or real-time applications. By balancing accuracy with computational efficiency, undercomputing aims to deliver effective solutions without the overhead of excessive processing power.
