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2 years ago

Which of the following is not a characteristic of Web 2.0?

Computers and Technology

1 answer:

Dmitry [639]2 years ago

7 0

Answer:

c. mentorship programs taking place via the internet

Explanation:

The World Wide Web (WWW) was created by Tim Berners-Lee in 1990, which eventually gave rise to the development of Web 2.0 in 1999.

Web 2.0 can be defined as a collection of internet software programs or applications which avails the end users the ability or opportunity to share files and resources, as well as enhance collaboration over the internet.

Basically, it's an evolution from a static worldwide web to a dynamic web that enhanced social media. Some of the examples of social media platforms (web 2.0) are You-Tube, Flickr, Go-ogle maps, Go-ogle docs, Face-book, Twit-ter, Insta-gram etc.

Some of the main characteristics of Web 2.0 are;

I. Social networking.

II. Blogging.

III. Interactive comments being available on many websites.

Also, most software applications developed for Web 2.0 avails its users the ability to synchronize with handheld or mobile devices such as smartphones.

However, mentorship programs taking place via the internet is not a characteristic of Web 2.0 but that of Web 3.0 (e-mentoring).

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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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