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Welcome to the Pipeline and Vector Processing MCQs Page

Dive deep into the fascinating world of Pipeline and Vector Processing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Pipeline and Vector Processing, a crucial aspect of Computer Architecture. In this section, you will encounter a diverse range of MCQs that cover various aspects of Pipeline and Vector Processing, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Computer Architecture.

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Check out the MCQs below to embark on an enriching journey through Pipeline and Vector Processing. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Computer Architecture.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Pipeline and Vector Processing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Pipeline and Vector Processing MCQs | Page 8 of 21

Discuss
Answer: (d).Greatest common divisor (GCD)
Q72.
Pipeline having stalls are required only single time per vector instruction, instead of once per
Discuss
Answer: (b).Vector element
Q73.
The memory bandwidth of the GPU is,
Discuss
Answer: (a).4.4
Q74.
The two iteration indices, j and k, and these both are in the limits of the FOR loop, for-loop index variable which runs from m to n i.e
Discuss
Answer: (a).m ? j ? n m ? k ? n
Q75.
Cache benefits including Ray casting (RC) is only
Discuss
Answer: (d).1.6 times faster
Q76.
The PTX instruction having format: opcode.type d, a, b, c; where d is the
Discuss
Answer: (a).Destination
Q77.
When every unit is fully pipelined, and a new operation can be started on each clock-cycle known as
Discuss
Answer: (b).Vector functional units
Q78.
When elements are tends to be operated on in the dense form, then the sparse vector gets stored in an expanded form by a
Discuss
Answer: (b).Scatter store
Q79.
The vector instructions which can be potentially executed altogether, is known as
Discuss
Answer: (c).Convoy
Q80.
If exploiting and finding the parallelism, across branches require scheduling code, a substantially very difficult algorithm is
Discuss
Answer: (a).Global scheduling

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