Ads
related to: parallel programming languages list best practices for learning
Search results
Results From The WOW.Com Content Network
Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...
Declarative programming – describes what computation should perform, without specifying detailed state changes c.f. imperative programming (functional and logic programming are major subgroups of declarative programming) Distributed programming – have support for multiple autonomous computers that communicate via computer networks
JADE (programming language) Janus (concurrent constraint programming language) Java (programming language) JoCaml; Join-calculus (programming language) Joule (programming language) Joyce (programming language)
Mainstream parallel programming languages remain either explicitly parallel or (at best) partially implicit, in which a programmer gives the compiler directives for parallelization. A few fully implicit parallel programming languages exist—SISAL, Parallel Haskell, SequenceL, System C (for FPGAs), Mitrion-C, VHDL, and Verilog.
The implementation of a parallel programming model can take the form of a library invoked from a programming language, as an extension to an existing languages. Consensus around a particular programming model is important because it leads to different parallel computers being built with support for the model, thereby facilitating portability of ...
Eden [12] is a parallel programming language for distributed memory environments, which extends Haskell. Processes are defined explicitly to achieve parallel programming, while their communications remain implicit. Processes communicate through unidirectional channels, which connect one writer to exactly one reader.
In the 1980s, the term was introduced [3] to describe this programming style, which was widely used to program Connection Machines in data parallel languages like C*. Today, data parallelism is best exemplified in graphics processing units (GPUs), which use both the techniques of operating on multiple data in space and time using a single ...
Mayer states: "No programming language is perfect. There is not even a single best language; there are only languages well suited or perhaps poorly suited for particular purposes. Understanding the problem and associated programming requirements is necessary for choosing the language best suited for the solution." [17]