Lots of processors all doing the same task simultaneously.

For instance a graphics card will use massively parallel processing computing to render the display.

Lots of processors all doing the same task simultaneously.

For instance a graphics card will use massively parallel processing computing to render the display.

C. Channy Wong has written:

'A domain decomposition study of massively parallel computing in compressible gas dynamics' -- subject(s): Domain decomposition, Massively parallel processors, Navier-Stokes equation

Parallel computing and distributed computing are ways of exploiting parallelism in computing to achieve higher performance. Multiple processing elements are used to solve a problem, either to have it done faster or to have a larger size problem been solved. To state simply, if the processing elements share the memory, it is called parallel computing, other wise it is called distributed computing. Some have opinion that distributed computing is a special form of parallel computing.

A crystal ball question .. answers are almost always wrong.

Some possibilities: quantum computing, massively parallel computers, computing using biological components or plastic elements to make implantable or wearable computing devices. Direct neural connections between computers and the brain.

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