2.1.1 Briefly explain what 'Threads' refers to in terms of processing when a program is executed - NSC Information Technology - Question 2 - 2017 - Paper 2
Question 2
2.1.1 Briefly explain what 'Threads' refers to in terms of processing when a program is executed.
2.1.2 At the time when the image was captured, the operating syste... show full transcript
Worked Solution & Example Answer:2.1.1 Briefly explain what 'Threads' refers to in terms of processing when a program is executed - NSC Information Technology - Question 2 - 2017 - Paper 2
Step 1
Briefly explain what 'Threads' refers to in terms of processing when a program is executed.
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Answer
Threads are part of the same program that runs simultaneously and independently. They allow for multiple operations to occur within a single process, facilitating better resource utilization and performance.
Step 2
Explain what process management, as executed by the operating system, entails.
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Process management involves ensuring that each process receives adequate CPU time and access to memory, storage, and other hardware resources. The operating system coordinates these processes to prevent interference between them and to maintain efficient operation.
Step 3
Does the presence of two cores mean that tasks will be processed at double the speed of the CPU, that is 3.16 GHz? Explain your answer.
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Answer
No, each core can process one task at a speed of 1.58 GHz. While having two cores allows for simultaneous task processing, it does not inherently double the processing speed of any single task to 3.16 GHz.
Step 4
What is cache memory?
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Cache memory is a type of special high-speed memory located close to or on the CPU that stores frequently accessed data and instructions, allowing quicker access than retrieving them from the main memory (RAM).
Step 5
What is the purpose of caching?
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The purpose of caching is to prevent slower storage mediums from hindering the performance of faster components, such as the CPU. By storing frequently accessed data in cache, the system can operate more efficiently and with lower latency.