I am not sure if this is a valid comparison or a valid statement but over the years I have heard folks claiming that the programs written in C++ generally take a longer time for compilation than the same written in C and that the applications coded in C++ are generally slower at run time than ones written in C.
Is there any truth in these statements?
Apart from reaping the benefits of OOP flexibility that C++ provides, should the above comparison be given a consideration purely from a compilation/execution time perspective?
I hope that this doesn't get closed as too generic or vague, it is just an attempt to know the actual facts about statements I have been hearing over the years from many programmers(C programmers predominantly).
Compile time is the period when the programming code (such as C#, Java, C, Python) is converted to the machine code (i.e. binary code). Runtime is the period of time when a program is running and generally occurs after compile time.
For a running program, the execution speed of Java can actually be faster that C since the runtime can make intelligent decisions based on the hardware it's running on. This is especially true of you are on multi-processor hardware and you are dealing with larger lists.
I'll answer one specific part of the question that's pretty objective. C++ code that uses templates is going to be slower to compile than C code. If you don't use templates (which you probably will if you use the standard library) it should be very similar compilation time.
EDIT: In terms of runtime it's much more subjective. Even though C may be a somewhat lower level language, C++ optimizers are getting really good, and C++ lends itself to more naturally representing real world concepts. If it's easier to represent your requirements in code (as I'd argue in C++) it's often easier to write better (and more performant) code than you would in another language. I don't think there's any objective data showing C or C++ being faster in all possible cases. I would actually suggest picking your language based on project needs and then write it in that language. If things are too slow, profile and proceed with normal performance improvement techniques.
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