How to resolve the algorithm Arena storage pool step by step in the Racket programming language

Published on 12 May 2024 09:40 PM
#Racket

How to resolve the algorithm Arena storage pool step by step in the Racket programming language

Table of Contents

Problem Statement

Dynamically allocated objects take their memory from a heap. The memory for an object is provided by an allocator which maintains the storage pool used for the heap. Often a call to allocator is denoted as where   T   is the type of an allocated object,   and   P   is a reference to the object. The storage pool chosen by the allocator can be determined by either:

In the former case objects can be allocated only in one storage pool. In the latter case objects of the type can be allocated in any storage pool or on the stack.

The task is to show how allocators and user-defined storage pools are supported by the language. In particular:

Explain what controls the storage pool choice in the language.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Arena storage pool step by step in the Racket programming language

Source code in the racket programming language

(malloc 1000 'raw)             ; raw allocation, bypass the GC, requires free()-ing
(malloc 1000 'uncollectable)   ; no GC, for use with other GCs that Racket can be configured with
(malloc 1000 'atomic)          ; a block of memory without internal pointers
(malloc 1000 'nonatomic)       ; a block of pointers
(malloc 1000 'eternal)         ; uncollectable & atomic, similar to raw malloc but no freeing
(malloc 1000 'stubborn)        ; can be declared immutable when mutation is done
(malloc 1000 'interior)        ; allocate an immovable block with possible pointers into it
(malloc 1000 'atomic-interior) ; same for atomic chunks
(malloc-immobile-cell v)       ; allocates a single cell that the GC will not move

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