The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>
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<h3>What is Parallel Computing?</h3>
Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.
<h3>Types of parallel computing</h3>
There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:
- Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
- Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
- Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
- Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.
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Explanation:
Other events at that time are canceled, and the meeting cannot be canceled by the organizer.
The agenda is updated with the user’s contact information, and other events at that time are canceled.
The meeting cannot be canceled by the organizer, and the agenda is updated with the user’s contact information.
The meeting organizer is notified, and a copy of the meeting is added to the user’s Outlook calendar.
Answer:
Each variable is named so it is clear which variable is being used at any time. It is important to use meaningful names for variables: ... The name given to each variable is up to the programmer, but ideally a variable name should have meaning, ie it should reflect the value that it is holding.
Variables make code more than a static set of instructions. They allow logic to occur, enabling developers to measure time, analyze data, and customize the program to the user. Variables are so important to the code that they deserve a good name that accurately describes their purpose
Explanation:
<span>B. Efficiency
(</span><span>effective training </span><span>techniques)</span>
