Answer:
Introduction
As you write blog posts, you may find that you want to include images you find online. Or maybe you found a great piece of writing—a recipe, a story, or a review—that you want to highlight on your own blog. It's important to know that almost all of the content you find on the Web belongs to someone. Just because you can take images, text, and more from other sites doesn't mean it's right to do so—ethically or legally.
In this lesson, you'll learn about the copyright protections that apply to work posted online. You'll learn about the rules that determine which images and text you can use, and how you can use them. You'll also learn how to protect the content you create.
The laws discussed in this lesson are United States laws. No lawyer was involved in preparing this lesson. We are not legal experts, and this lesson should not be taken as legal advice.
Understanding copyright
Copyright is the legal concept that works—art, writing, images, music, and more—belong to the people who create them. According to copyright law, any original content you create and record in a lasting form is your own intellectual property. This means other people can't legally copy your work and pretend it's their own. They can't make money from the things you create either.
To use, copy, or change a copyrighted work, you need permission from the person who holds the copyright. This permission is called a license. Even though everyone has the right to require that others respect their copyright and ask permission to use their work, some people and organizations choose to license their content more freely. They do this by giving their work a Creative Commons license or by placing their work in the Public Domain.
Yes it is. Why are you asking?
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.
Learn more about parallel computing
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Simplex, simplex, and half duplex.
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