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A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs , that are designed to operate on any computer program .
Allows procedural programming, functional programming (since Java 8) and generic programming (since Java 5), but strongly encourages the object-oriented programming paradigm. Includes support for creating scripting languages. Runs as native executable machine code for the target instruction set(s). Runs on a virtual machine.
A pointer a pointing to the memory address associated with a variable b, i.e., a contains the memory address 1008 of the variable b.In this diagram, the computing architecture uses the same address space and data primitive for both pointers and non-pointers; this need not be the case.
A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
C++ programmers expect the latter on every major implementation of C++; it includes aggregate types (vectors, lists, maps, sets, queues, stacks, arrays, tuples), algorithms (find, for_each, binary_search, random_shuffle, etc.), input/output facilities (iostream, for reading from and writing to the console and files), filesystem library ...
Marshalling is similar to or synonymous with serialization, although technically serialization is one step in the process of marshalling an object.. Marshalling is describing the overall intent or process to transfer some live object from a client to a server (with client and server taken as abstract, mirrored concepts mapping to any matching ends of an arbitrary communication link ie.
Many programming languages require garbage collection, either as part of the language specification (e.g., RPL, Java, C#, D, [4] Go, and most scripting languages) or effectively for practical implementation (e.g., formal languages like lambda calculus). [5] These are said to be garbage-collected languages.
A structural type system means that the language decides whether types are compatible and/or equivalent based on the definition and characteristics of the types. Type checking determines whether and when types are verified. Static checking means that type errors are reported based on a program's text (source code).