The amount of memory used by a program is sometimes as important to track as the amount of time taken to run it. This is not only because memory is a limited resource that can be in short supply, but also because excessive allocation can easily lead to excessive execution time. The time taken to allocate and deallocate memory and run the garbage collection can become quite significant when a program uses large amounts of memory.
The @time macro seen in the previous sections provides information about memory allocation for the expression or function being timed. In some cases, however, it may be difficult to predict where exactly the memory allocation occurs. For these situations, Julia's track allocation functionality is just what is needed.
