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OpenMP and Parallel computing

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between OpenMP and Parallel computing

OpenMP vs. Parallel computing

OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran, on most platforms, instruction set architectures and operating systems, including Solaris, AIX, HP-UX, Linux, macOS, and Windows. Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.

Similarities between OpenMP and Parallel computing

OpenMP and Parallel computing have 35 things in common (in Unionpedia): Advanced Micro Devices, Amdahl's law, Application programming interface, C (programming language), Computer cluster, Concurrency (computer science), Concurrent computing, Cray, CUDA, Data parallelism, Desktop computer, Directive (programming), Distributed shared memory, Embarrassingly parallel, Fortran, IBM, Instruction set architecture, Intel, Library (computing), Linearizability, Load balancing (computing), Message Passing Interface, Nvidia, OpenCL, Operating system, Parallel programming model, POSIX Threads, Race condition, SequenceL, Shared memory, ..., Speedup, Supercomputer, Symmetric multiprocessing, Task parallelism, Thread (computing). Expand index (5 more) »

Advanced Micro Devices

Advanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets.

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Amdahl's law

In computer architecture, Amdahl's law (or Amdahl's argument) is a formula which gives the theoretical speedup in latency of the execution of a task at fixed workload that can be expected of a system whose resources are improved.

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Application programming interface

In computer programming, an application programming interface (API) is a set of subroutine definitions, protocols, and tools for building software.

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C (programming language)

C (as in the letter ''c'') is a general-purpose, imperative computer programming language, supporting structured programming, lexical variable scope and recursion, while a static type system prevents many unintended operations.

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Computer cluster

A computer cluster is a set of loosely or tightly connected computers that work together so that, in many respects, they can be viewed as a single system.

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Concurrency (computer science)

In computer science, concurrency refers to the ability of different parts or units of a program, algorithm, or problem to be executed out-of-order or in partial order, without affecting the final outcome.

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Concurrent computing

Concurrent computing is a form of computing in which several computations are executed during overlapping time periods—concurrently—instead of sequentially (one completing before the next starts).

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Cray

Cray Inc. is an American supercomputer manufacturer headquartered in Seattle, Washington.

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CUDA

CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.

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Data parallelism

Data parallelism is parallelization across multiple processors in parallel computing environments.

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Desktop computer

A desktop computer is a personal computer designed for regular use at a single location on or near a desk or table due to its size and power requirements.

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Directive (programming)

In computer programming, a directive or pragma (from "pragmatic") is a language construct that specifies how a compiler (or other translator) should process its input.

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Distributed shared memory

In computer science, distributed shared memory (DSM) is a form of memory architecture where physically separated memories can be addressed as one logically shared address space.

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Embarrassingly parallel

In parallel computing, an embarrassingly parallel workload or problem (also called perfectly parallel or pleasingly parallel) is one where little or no effort is needed to separate the problem into a number of parallel tasks.

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Fortran

Fortran (formerly FORTRAN, derived from Formula Translation) is a general-purpose, compiled imperative programming language that is especially suited to numeric computation and scientific computing.

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IBM

The International Business Machines Corporation (IBM) is an American multinational technology company headquartered in Armonk, New York, United States, with operations in over 170 countries.

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Instruction set architecture

An instruction set architecture (ISA) is an abstract model of a computer.

Instruction set architecture and OpenMP · Instruction set architecture and Parallel computing · See more »

Intel

Intel Corporation (stylized as intel) is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley.

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Library (computing)

In computer science, a library is a collection of non-volatile resources used by computer programs, often for software development.

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Linearizability

In concurrent programming, an operation (or set of operations) is atomic, linearizable, indivisible or uninterruptible if it appears to the rest of the system to occur at once without being interrupted.

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Load balancing (computing)

In computing, load balancing improves the distribution of workloads across multiple computing resources, such as computers, a computer cluster, network links, central processing units, or disk drives.

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Message Passing Interface

Message Passing Interface (MPI) is a standardized and portable message-passing standard designed by a group of researchers from academia and industry to function on a wide variety of parallel computing architectures.

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Nvidia

Nvidia Corporation (most commonly referred to as Nvidia, stylized as NVIDIA, or (due to their logo) nVIDIA) is an American technology company incorporated in Delaware and based in Santa Clara, California.

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OpenCL

OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.

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Operating system

An operating system (OS) is system software that manages computer hardware and software resources and provides common services for computer programs.

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Parallel programming model

In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their composition in programs.

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POSIX Threads

POSIX Threads, usually referred to as pthreads, is an execution model that exists independently from a language, as well as a parallel execution model.

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Race condition

A race condition or race hazard is the behavior of an electronics, software, or other system where the output is dependent on the sequence or timing of other uncontrollable events.

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SequenceL

SequenceL is a general purpose functional programming language and auto-parallelizing (Parallel computing) compiler and tool set, whose primary design objectives are performance on multi-core processor hardware, ease of programming, platform portability/optimization, and code clarity and readability.

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Shared memory

In computer science, shared memory is memory that may be simultaneously accessed by multiple programs with an intent to provide communication among them or avoid redundant copies.

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Speedup

In computer architecture, speedup is a number that measures the relative performance of two systems processing the same problem.

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Supercomputer

A supercomputer is a computer with a high level of performance compared to a general-purpose computer.

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Symmetric multiprocessing

Symmetric multiprocessing (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all processors equally, reserving none for special purposes.

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Task parallelism

Task parallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors in parallel computing environments.

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Thread (computing)

In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system.

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The list above answers the following questions

OpenMP and Parallel computing Comparison

OpenMP has 100 relations, while Parallel computing has 280. As they have in common 35, the Jaccard index is 9.21% = 35 / (100 + 280).

References

This article shows the relationship between OpenMP and Parallel computing. To access each article from which the information was extracted, please visit:

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