Practice Vector, Simd, Gpus (10) - Vector, SIMD, GPUs - Computer Architecture

Practice: Vector, SIMD, GPUs

Lesson 10Vector, SIMD, GPUs

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10 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does SIMD stand for?
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Remember that it involves using one instruction on multiple data points.
Question 2.
What is the main advantage of vector processing?
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Think of efficiency!
3Question 3.
What is the main purpose of SIMD?
- To execute one instruction on one data point
- To execute one instruction on multiple data points
- To execute multiple instructions simultaneously
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Think about how efficiently it handles multiple pieces of data.
4Question 4.
True or False: GPUs are optimized for single-threaded performance.
- True
- False
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Consider how GPUs manage many tasks simultaneously.
Question 5.
Consider a deep learning model training with a GPU. Explain the benefits of using SIMD for this process and the potential bottlenecks that could arise.
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Think about both sides of the equation: advantages and challenges.
Question 6.
You are tasked with optimizing a code section that processes an array of numbers. Describe how you would go about vectorization and any potential issues you might encounter.
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Consider the layout of your data and dependencies between operations.

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