What is Amdahl's Law?
Amdahl's Law is a principle in computer science that helps to predict the maximum improvement in performance that can be achieved by optimizing a particular part of a system. It was formulated by computer scientist Gene Amdahl in the 1960s, and it is often used to evaluate the potential benefits of implementing new technologies or techniques in computer systems.
Amdahl's Law is based on the idea that the overall performance of a system is limited by its bottleneck or the part of the system that is the slowest or most constrained. It states that the maximum improvement in performance that can be achieved by optimizing a particular part of the system is equal to the fraction of time that the system spends on that part, divided by the fraction of time that is saved by the optimization.
For example, suppose that a system spends 90% of its time on a particular task and that optimizing the task results in a 50% reduction in the time it takes to complete the task. According to Amdahl's Law, the maximum improvement in overall system performance that can be achieved by optimizing the task is 90% / (90% - 50%) = 1.8, or an 80% improvement in performance.
Amdahl's Law is a useful tool for evaluating the potential benefits of optimizing different parts of a system, and for allocating resources to maximize the overall performance of the system.