Mon premier blog

Garbage Collection: Algorithms for Automatic Dynamic Memory Management Rafael D Lins, Richard Jones
Publisher: Wiley

The stack is normally located . C++, Dynamic Memory and Automatic Variables. CLR provides features such as automatic memory management (GC), exception handing, security, type safety, JIT (Just in time compiler for converting msil to native code) and more. As I pointed out yesterday, with FastMM available, memory management is so much of a solved problem that it's a non-problem. This defragmentation may occur when a memory allocation fails or there may be a periodic garbage collection process that is run. Moving object fields to an object's or record's automatic destruction list would mean moving them to FinalizeRecord, and for the life of me, I cannot understand why FinalizeRecord exists at all. Dynamic memory allocation tends to be nondeterministic; the time taken to allocate memory may not be predictable and the memory pool may become fragmented, resulting in unexpected allocation failures. Nevertheless, all of the commonly used JVMs have garbage collectors, and most garbage collectors use similar algorithms to manage their memory and perform collection operations. In typical memory management implementations, memory is automatically garbage collected when the last reference to a variable is removed. (See: every implementation of garbage collection ever devised, including ARC.) This is where semantic attributes come in. Nor does it specify how a garbage collector should work. CLR探索系列：Server and Workstation Garbage Collection探索（垃圾回收系列）. The first topic I'm covering is memory management as this area is often cited as the killer reason to use a garbage collected runtime over a native language like C++. In this session the Automatic variables (and function parameters) are usually stored on the stack.