When computers need to use more memory than have RAM, they'll swap out pages of memory to their drive. When they need those memory pages, they'll swap out others and swap in the needed ones. If a computer needs enough additionall memory, it can get so busy swapping that it doesn't have any (or very little) time to do any useful work. That is called thrashing.
Unix calls swapping swapping. Windows calls it paging, probably because of the memory pages. Memory pages are 4096 (4KB) sections of memory.
Unix drives are usually partitioned with a swap partition, and swap files can be made in the filesystem. Windows just has pagefiles[s].
Answer: binary
Explanation:
Conceptual design refers to the early phase of the design process, whereby the outlines of function are articulated. The conceptual design consist of the design of processes, interactions, and strategies. It is the first stage in the database design process.
The output of the conceptual design process describes the main data entities, and constraints of a particular problem domain. To simplify the conceptual design, most higher-order relationships are decomposed into appropriate equivalent binary relationships whenever possible.
Answer:
No
Explanation:
a single program or application is a software
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:
Operating systems work like translators because they are able to take software and hardware, and put it all together to work in a way that is readable and usable for the consumer.
