Garbage collection in memory management

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garbage collection in memory management

Garbage Collection: Algorithms for Automatic Dynamic Memory Management by Richard Jones

I 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.
File Name: garbage collection in memory
Size: 98380 Kb
Published 18.12.2018

Stack and Heap: Memory Management In Java (The most important Concept in Java)

Memory Management/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. Most memory-management issues are solved, but often at the cost of creating serious performance problems. Making garbage collection adaptable to all kinds of situations has led to a complex and hard-to-optimize system.

In computer science , garbage collection GC is a form of automatic memory management. The garbage collector , or just collector , attempts to reclaim garbage , or memory occupied by objects that are no longer in use by the program. Garbage collection was invented by John McCarthy around to simplify manual memory management in Lisp. Garbage collection is essentially the opposite of manual memory management , which requires the programmer to specify which objects to deallocate and return to the memory system. However, many systems use a combination of approaches, including other techniques such as stack allocation and region inference.

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.

Allocating Memory

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. Because they are difficult to identify and repair, allocation errors are costly.

Automatic memory management is one of the services that the Common Language Runtime provides during managed execution. The Common Language Runtime's garbage collector manages the allocation and release of memory for an application. For developers, this means that you do not have to write code to perform memory management tasks when you develop managed applications. Automatic memory management can eliminate common problems, such as forgetting to free an object and causing a memory leak, or attempting to access memory for an object that has already been freed. This section describes how the garbage collector allocates and releases memory. When you initialize a new process, the runtime reserves a contiguous region of address space for the process. This reserved address space is called the managed heap.

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