Low precision computing in AI CPUs uses: MCQ with Answer and Explanation

Question

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Low precision computing in AI CPUs uses:

A. INT8 or FP16 for efficiency

B. Integer only legacy

C. No precision

D. Only FP64

Answer: Option A

Solution (By JKSSB Mock Tests)

Higher throughput.

This question belongs to: Computer CPU (Central Processing Unit)

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Question #1

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The von Neumann bottleneck primarily refers to:

A. Register access time

B. Limited memory bandwidth between CPU and memory

C. ALU processing speed

D. Control unit delays

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Correct Answer: Option B

Explanation:
The shared bus for data and instructions limits throughput in von Neumann architecture.

This question belongs to: Computer CPU (Central Processing Unit)

Question #2

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Ray tracing acceleration in CPUs/GPUs uses:

A. Basic ALU only

B. Software simulation

C. No support

D. Specialized hardware units

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Correct Answer: Option D

Explanation:
Dedicated RT cores or units.

This question belongs to: Computer CPU (Central Processing Unit)

Question #3

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The decode stage may involve:

A. Complex decoding for variable length instructions

B. ALU computation

C. No decoding

D. Simple fixed length only

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Correct Answer: Option A

Explanation:
In x86 especially.

This question belongs to: Computer CPU (Central Processing Unit)

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