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This repository has been archived by the owner on Jul 30, 2024. It is now read-only.
Similarly, the goal is to have full autonomy for memory optimization. If you use too much memory, or build up too much memory with a program running over time, performance is going to degrade. Using too much memory without releasing it to the heap (the virtual memory available as a resource to all programs) can result in running out of memory on the machine, requiring a reboot and potentially leading to many issues.
Ideally, in a well-written program, you use memory and then return it to the heap. That way there is always something on the heap to take from. Each program is allocated a piece of the heap. If a particular program (or programs) keep sucking up a disproportionate amount of the heap, program performance suffers until an eventual crash.
Memory optimization should be able to happen autonomously in the background.
Memory optimization should also be able to happen when manually invoked by the user
The text was updated successfully, but these errors were encountered:
Similarly, the goal is to have full autonomy for memory optimization. If you use too much memory, or build up too much memory with a program running over time, performance is going to degrade. Using too much memory without releasing it to the heap (the virtual memory available as a resource to all programs) can result in running out of memory on the machine, requiring a reboot and potentially leading to many issues.
Ideally, in a well-written program, you use memory and then return it to the heap. That way there is always something on the heap to take from. Each program is allocated a piece of the heap. If a particular program (or programs) keep sucking up a disproportionate amount of the heap, program performance suffers until an eventual crash.
The text was updated successfully, but these errors were encountered: