A Glance At Garbage Collection In OO Languages
JigSaw writes "Garbage collection (GC) is a technology that frees programmers from the hassle of explicitly managing memory allocation for every object they create. Traditionally, the benefit of this automation has come at the cost of significant overhead. However, more efficient algorithms and techniques, coupled with the increased computational power of computers have made the overhead negligible for all but the most extreme situations. Zachary Pinter wrote an excellent article about all this."
A previous poster noted that most GC algorithms are distinctly unfriendly to virtual memory systems. They usually have similar problems with cache locality, which can result in an enormous slowdown, regardless of the time actually spent in the GC itself. A practical problem is that GC regimes are notoriously non-portable, so that each new language implementation needs to have the (increasingly complex) GC re-done again.
A more fundamental problem is that memory is only one of many resources a typical industrial program must manage. GC takes over memory management, but leaves the other scarce resources -- file descriptors, sockets, mutexes, database connections -- to be managed manually, as in C. (Java has this problem, for instance.) "Finalization" simply cannot provide the necessary guarantees.
Given a resource management regime that can handle all these other important resources, as is commonly practiced in C++, memory becomes just another resource. Management is encapsulated the same way for all. A language that lacks the tools necessary to implement such a regime needs GC, so the presence of GC may actually (as in the case of Java) indicate a fundamental weakness in the language.
(Anybody who thinks languages like Haskell or ML are fundamentally more powerful than C++ must be unaware of the Boost Lambda library, and of FC++, a set of header files that implements Haskell language semantics for C++ programs. They get along fine without GC, as well.)