IB Computer Science Topic A1.1.2 Role of a GPU Revision Notes (SL/HL)

IB Computer Science Topic A1.1.2 Role of a GPU Revision Notes (SL/HL) | RevisionDojo

Written by official IB examiners

What is a GPU?

GPU stands for Graphics Processing Unit.
It is a specialised processor designed to handle graphics rendering and complex parallel tasks.
Originally built to improve image and video performance, but now used in areas like AI, scientific computing, and data analysis.

What does the GPU do?

Processes visual data, turning code into images you see on a screen.
Performs parallel computations, many small tasks at the same time.

Works alongside the CPU to take on specialised work and free up resources.

Understanding GPU Architecture

Parallel Processing:
1. GPUs are designed with thousands of smaller cores, enabling them to perform parallel processing.
2. This architecture is ideal for tasks that can be broken down into smaller, independent operations.
High Throughput:
1. GPUs are optimized for high throughput, meaning they can process large amounts of data simultaneously.
2. This is crucial for tasks like graphics rendering and machine learning.
Specialized Memory:
1. GPUs use high-speed memory, such as VRAM (Video RAM), to handle large textures and data sets efficiently.

Note

The Nvidia GeForce RTX 4080, for example, has 9,728 cores, illustrating the massive parallel processing capability of modern GPUs.

Nice try, unfortunately this paywall isn't as easy to bypass as you think. Want to help devleop the site? Join the team at https://revisiondojo.com/join-us. exercitation voluptate cillum ullamco excepteur sint officia do tempor Lorem irure minim Lorem elit id voluptate reprehenderit voluptate laboris in nostrud qui non Lorem nostrud laborum culpa sit occaecat reprehenderit

Definition

Paywall

(on a website) an arrangement whereby access is restricted to users who have paid to subscribe to the site.

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Duis aute irure dolor in reprehenderit

Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Note

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam quis nostrud exercitation.

Excepteur sint occaecat cupidatat non proident

Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit.

Tip

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum.

Unlock the rest of this chapter with a free account

What is a GPU?

GPU stands for Graphics Processing Unit.
It is a specialised processor designed to handle graphics rendering and complex parallel tasks.
Originally built to improve image and video performance, but now used in areas like AI, scientific computing, and data analysis.

What does the GPU do?

Processes visual data, turning code into images you see on a screen.
Performs parallel computations, many small tasks at the same time.

Works alongside the CPU to take on specialised work and free up resources.

Understanding GPU Architecture

Parallel Processing:
1. GPUs are designed with thousands of smaller cores, enabling them to perform parallel processing.
2. This architecture is ideal for tasks that can be broken down into smaller, independent operations.
High Throughput:
1. GPUs are optimized for high throughput, meaning they can process large amounts of data simultaneously.
2. This is crucial for tasks like graphics rendering and machine learning.
Specialized Memory:
1. GPUs use high-speed memory, such as VRAM (Video RAM), to handle large textures and data sets efficiently.

Note

The Nvidia GeForce RTX 4080, for example, has 9,728 cores, illustrating the massive parallel processing capability of modern GPUs.

Definition

Paywall

(on a website) an arrangement whereby access is restricted to users who have paid to subscribe to the site.

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Note

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam quis nostrud exercitation.

Excepteur sint occaecat cupidatat non proident

Tip

Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum.

A1 Computer fundamentals4 subtopics

A2 Networks4 subtopics

A3 Databases4 subtopics

A4 Machine learning4 subtopics

B1 Computational thinking1 subtopic

B2 Programming5 subtopics

B3 Object-oriented programming2 subtopics

B4 Abstract data types (HL only)1 subtopic

IB Computer Science Topic A1.1.2: Role of a GPU Notes

A1 Computer fundamentals4 subtopics

A2 Networks4 subtopics

A3 Databases4 subtopics

A4 Machine learning4 subtopics

B1 Computational thinking1 subtopic

B2 Programming5 subtopics

B3 Object-oriented programming2 subtopics

B4 Abstract data types (HL only)1 subtopic

What is a GPU?

What does the GPU do?

Understanding GPU Architecture

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account

What is a GPU?

What does the GPU do?

Understanding GPU Architecture

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account