Answer:
Studying in groups can have many effective outcomes and be beneficial. Here are some ways studying in a group is benefical,
1. More support, limits chances of procrastination
<u> With many people, everyone is assigned a role or there is more determination by all peoples to get the work done than an individual being the only one responsible than many trying to accomplish the completion of the project. </u>
2. More people means more parts can get done effectively and taking notes is easier.
<u> More people allow the work (depending on the project of assignment) for the work to get more focused and worked on faster with the designated roles given. </u>
3. More interactive and allows (sometimes an enjoyable times) and to even learn faster than independently.
People, not all however, might like the company, there's support and even people skills is enhanced by being in the group.
You can go into your bedroom on a dark night, then close your eyes, and press your face into the pillow. You will then see an exact copy of the image, in perfect detail.
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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Answer:
1.) 25 ; 15 ; 15
2.) 50 ; 15 ; 50
Explanation:
In the first function written :
The variable val was initially decaled or assigned a value of 25 and that was what was printed first.
However, after the example function was written, the val variable was finally assiagned a value of 15 within the function. However, it was also declared that the global variable takes uonthe val value. Hence, the val variable initially assigned a value, of 25 changes to 15 globally.
For the second code :
From the top:
Val was assigned a value of 50 ;
Hence,
print(val) gives an output of 50
Within the function definition which prints the value of val that is assigned a value of 25 within the function.
Since tbe global variable isnt reset.
Printing Val again outputs 50;since ito is outside the function.
