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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Answer:
Simplex transmission
Explanation:
Communication between computer and keyboard involves which transmission? Answer: Simplex transmission requires communicating between a computer and a keyboard. The simple transmission & communication channel allows data from only one direction.
Answer:
it's A:state the role each member played in the project
Answer:
(i) When transmitting a draft manuscript for a book, the lossless compression technique is most suitable because after decompression, the data is rebuilt and restored in its form as it was from where it originated
(ii) When transmitting a video recording which you have made of the school play, a lossy compression technique is most suitable because the large size of video files require the increased data carrying capacity which is provided by the lossy transmission technique. The quality of the video can be reduced without affecting the message intended to be delivered
Explanation:
Answer:
megapixel refers to the unit of resolution i.e. one million
Explanation:
Interestingly the higher the pixels does not mean higher quality of image, it's more about the camera and it's sensor.
I am a photographer and a licensed drone pilot and have researched the subject to help with camera choice, both DSLR and drone.
