Final answer:
A program with linear speedup can be considered strongly scalable as long as performance gains remain proportional to the increase in resources, but this may vary based on the program's characteristics.
Step-by-step explanation:
Understanding Scalability and Linear Speedup
For a program to be considered strongly scalable, it should be able to handle a proportional increase in workload and resources while maintaining performance. If a program obtains linear speedup, it means that as you add resources (like processors), the performance improves proportionally; if we double the resources, the performance should ideally double.
A program that obtains linear speedup can be considered strongly scalable provided that the scalability can be maintained indefinitely. However, in real-world scenarios, there are often physical and practical limits to scalability, and performance gains may not remain linear beyond a certain point.
The response to the question whether a program that achieves linear speedup is strongly scalable would be 'c. It depends on the specific program', as the ability to scale linearly indefinitely varies from one program to another.