Garbage Collection: Algorithms for Automatic Dynamic Memory Management by Richard JonesI took me around a year to read this book. I picked it up because I wanted to learn more about Garbage Collection in general after a I heard a talk about the Ruby Garbage Collector in particular. At first, it was more than I could swallow and I had to progress slowly. I had to reread parts, I often stopped reading it for weeks, but I eventually finished it.
It sums up nicely different garbage collection algorithms. If you read this book, you will be able to write a bunch of *simple* garbage collectors and you will have a good idea how to think about them. Youll also learn that Garbage Collection is way more intricate and complex than you assume. Its pretty eye-opening.
There are two shortcomings. First, the books was written in the 90s and it shows. It describes interactions with the architecture (namely cache and virtual memory) that are not relevant in the present day. Second, you will not always be able to grok what the book talks about. The first chapters explain the algorithms in detail, but after a point, it starts to feel as a summary of the research papers, referenced at the back. It could have also used more illustrations to make its points.
Apart from this, the book is a great, if heavy, ready.
Exploring NET's Memory Management — A Trip Down Memory Lane
Automatic memory management and garbage collection
Java Memory Management, with its built-in garbage collection, is one of the language's finest achievements. It allows developers to create new objects without worrying explicitly about memory allocation and deallocation, because the garbage collector automatically reclaims memory for reuse. This enables faster development with less boilerplate code, while eliminating memory leaks and other memory-related problems. At least in theory. Ironically, Java garbage collection seems to work too well, creating and removing too many objects.
Using values basically means reading and writing in allocated memory. This can be done by reading or writing the value of a variable or an object property or even passing an argument to a function. Low-level languages require the developer to manually determine at which point in the program the allocated memory is no longer needed and to release it. This automatic process is an approximation since the general problem of determining whether or not a specific piece of memory is still needed is undecidable. As stated above, the general problem of automatically finding whether some memory "is not needed anymore" is undecidable. As a consequence, garbage collectors implement a restriction of a solution to the general problem.
Garbage collection GC is a dynamic approach to automatic memory management and heap allocation that processes and identifies dead memory blocks and reallocates storage for reuse. The primary purpose of garbage collection is to reduce memory leaks. Some programming languages and platforms with built-in GC e. Net self-manage memory leaks, allowing for more efficient programming. Garbage collection's dynamic approach to automatic heap allocation addresses common and costly errors that often result in real world program defects when undetected.
Garbage consists of objects that are dead. In tracing garbage collection , the term is sometimes used to mean objects that are known to be dead; that is, objects that are unreachable. Garbage collection GC , also known as automatic memory management , is the automatic recycling of dynamically allocated memory 2. Garbage collection is performed by a garbage collector which recycles memory that it can prove will never be used again. Systems and languages which use garbage collection can be described as garbage-collected.