The definition of parallel computing is the processing of data many bits at a time as opposed to serial computing which is the processing of data one bit at a time.
You can either go to: en.wikipedia.org/wiki/Cloud_computing or searchcloudcomputing.techtarget.com/definition/cloud-computing for a full definition of what cloud computing is.
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.
"Distributed" or "grid" computing in general is a special type of parallel computing, it is advanced in the means of using distributed computing.
EPIC, which stands for Explicitly Parallel Instruction Computing.
One advantage to parallel computing is the ability to process information quicker. A disadvantage is maintaining the system because it is complex.
Computing done at a central location. (:
supercomputers allows both parallel and distributed computing
The cost optimal algorithm in parallel computing is the modular structured parallel algorithm that satisfy the insatiable demand of low power consumption, reduces speed and minimum silicon area.
Lots of processors all doing the same task simultaneously. For instance a graphics card will use massively parallel processing computing to render the display.
a parallel
Distributed computing involves multiple computers working together on a task, often across a network, while parallel computing uses multiple processors within a single computer to work on a task simultaneously. Distributed computing can be more flexible and scalable but may face challenges with communication and coordination between the computers. Parallel computing can be faster and more efficient for certain tasks but may be limited by the number of processors available. The choice between distributed and parallel computing depends on the specific requirements of the task at hand.
Serial computing is executing a task on one computer. Distributed computing is executing a task on multiple computers at the same time.