What Is Programming? And How To Get Started
January 28, 2025
Article
This course is part of GPU Programming Specialization
Instructor: Chancellor Thomas Pascale
13,191 already enrolled
Included with
Recommended experience
Beginner level
Some experience programming
Recommended experience
Beginner level
Some experience programming
Students will learn how to develop concurrent software in Python and C/C++ programming languages.
Students will gain an introductory level of understanding of GPU hardware and software architectures.
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This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.
The purpose of this module is for students to understand how the course will be run, topics, how they will be assessed, and expectations.
3 videos4 readings1 programming assignment2 discussion prompts1 ungraded lab
In order to create software that process greater amounts of data at faster speeds, software operating systems, programming languages, and frameworks require strategies for accessing and modification of data in a manner that maximizes speed, while minimizing the possibility of data being in incorrect states. In this module, students will be presented canonical concurrency problems such as the Dining Philosophers. Additionally, they will learn how operating systems and programming languages handle these problems, and discuss real world big data concurrency applications.
6 videos3 readings2 programming assignments1 discussion prompt1 ungraded lab
Modern programming languages allow developers to create software with complex logic for manipulation of data in parallel, taking advantage of the multiple CPU cores in most computers. Students will develop simple software, written in the C++ and Python 3 programming languages, that process data sets concurrently.
6 videos2 readings2 assignments2 programming assignments1 discussion prompt2 ungraded labs
The purpose of this module is for students to understand the basis in hardware and software that CUDA uses. This is required to appropriately develop software to optimally take advantage of GPU resources.
9 videos1 reading1 assignment2 programming assignments1 discussion prompt1 ungraded lab
The purpose of this module is for students to understand the principles of developing CUDA-based software.
6 videos1 reading1 assignment2 programming assignments1 discussion prompt1 ungraded lab
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Yes, but you will need to update code files to the labs and assignments. For modules 4 and 5 you will need to have an Nvidia GPU installed on your machine. The in-browser environment for labs and assignments is built to allow for all required programming.
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