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The dynamic memory allocator is a layer between the application and the OS, managing heap objects. When a program requests memory from the allocator (via malloc(), for instance), the allocator will return a pointer (or reference) to a piece of memory of the appropriate size. When the program is done with the memory, the memory should be released back to the allocator. Languages such as C and C++ leave this job to the programmer to perform manually, for example by using free(). On the other hand, languages such as Java, python, etc automatically manage dynamically-allocated memory, which makes the programmer's life easier, and can eliminate entire classes of memory management bugs.
Although using free() and delete is relatively simple, it can be tricky to get them right. A signi?cant fraction of bugs in C and C++ programs are related to manual memory management. If we forget to free objects, we end up with memory leaks; if we free memory too soon, we end up with "dangling pointers"; also, we can try to do weird things, like performing double frees, etc. Therefore, a process that manages memory automatically is clearly useful. The most important concept for correctly implementing a garbage collector is that of live objects: a live object is any object that can still be reached through one (or more) pointers.
Q. What are the five main activities of an operating system in regard to process management? Answer: a. The creation as well as deletion of both user and system processes
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Explain the BeginThread Function used in the NetWare example code BeginThread(MyThread Function, stack,size, arg) BeginThread creates a thread and places it on the NetWar
What advantages are there to this two-level directory? Users are isolated from each other. Users have more freedom in choosing file names.
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socket based fortune teller sever.your program should create a server that listens to a specific port when a client receives a connection the server should respond with a random fo
Discuss the concepts of task decomposition and data decomposition within the context of parallel programming. Parallel programming or parrelel computing is the simultaneo
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