CUDA and Parallel computing

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Difference between CUDA and Parallel computing

CUDA vs. Parallel computing

CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.

Algorithm

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.

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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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BrookGPU

The Brook programming language and its implementation BrookGPU were early and influential attempts to enable general-purpose computing on graphics processing units.

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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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Central processing unit

A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.

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Compute kernel

In computing, a compute kernel is a routine compiled for high throughput accelerators (such as GPUs, DSPs or FPGAs), separate from (but used by) a main program.

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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 computing

Distributed computing is a field of computer science that studies distributed systems.

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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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Graphics processing unit

A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device.

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Haskell (programming language)

Haskell is a standardized, general-purpose compiled purely functional programming language, with non-strict semantics and strong static typing.

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Instruction set architecture

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

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Linear algebra

Linear algebra is the branch of mathematics concerning linear equations such as linear functions such as and their representations through matrices and vector spaces.

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Molecular dynamics

Molecular dynamics (MD) is a computer simulation method for studying the physical movements of atoms and molecules.

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Multi-core processor

A multi-core processor is a single computing component with two or more independent processing units called cores, which read and execute program instructions.

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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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Nvidia Tesla

Nvidia Tesla is Nvidia's brand name for their products targeting stream processing or general-purpose GPU.

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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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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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Sorting algorithm

In computer science, a sorting algorithm is an algorithm that puts elements of a list in a certain order.

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