GPU and graphics processing in Intro to Computing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to print the main purpose of a GPU.

Intro to Computing

print("The GPU is mainly used for [1] processing.")

Drag options to blanks, or click blank then click option'

Agraphics

Btext

Caudio

Dnetwork

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing CPU tasks like text or network processing.

The GPU (Graphics Processing Unit) is designed to handle graphics processing, such as rendering images and videos.

2fill in blank

medium

Complete the sentence to explain why GPUs are faster for graphics.

Intro to Computing

GPUs have many [1] that work together to process graphics quickly.

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Acores

Bdisks

Cfans

Dbatteries

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing cores with storage or cooling parts.

GPUs have many cores that allow them to perform many tasks at once, speeding up graphics processing.

3fill in blank

hard

Fix the error in the code that calculates total GPU cores.

Intro to Computing

total_cores = gpu_units [1] cores_per_unit

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A-

B/

C+

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using + or - instead of * for multiplication.

To find total cores, multiply the number of GPU units by cores per unit.

4fill in blank

hard

Fill both blanks to create a dictionary of GPU names and their core counts.

Intro to Computing

gpu_cores = { [1]: [2] for [1], [2] in gpu_list }

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Agpu

Bcores

Cgpu_name

Dcore_count

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same variable for key and value.

This dictionary comprehension creates pairs of GPU names and their core counts.

5fill in blank

hard

Fill all three blanks to filter GPUs with more than 2000 cores.

Intro to Computing

filtered_gpus = { [1]: [2] for [1], [2] in gpu_data.items() if [2] > 2000 }

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Aname

Bcores

Dgpu_data

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up keys and values in the loop.

This code creates a dictionary of GPUs with core counts greater than 2000 by iterating over gpu_data items.