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CUDA Programming (1) - C/C++/GPU Parallel Computing - CUDA Kernel kernel

✅ (1) Creating an actual CUDA kernel, out of the complete series from (1) to (6) ✅ Explaining NVIDIA GPU + CUDA programming step-by-step from the basics. ✅ Processing arrays, matrices, image processing, statistical processing, and sorting very quickly using parallel computing with C++/C.

(4.9) 23 reviews

302 learners

Level Intermediate

Course period 36 months

CUDA
CUDA
GPU
GPU
Parallel Processing
Parallel Processing
C
C
C++
C++
CUDA
CUDA
GPU
GPU
Parallel Processing
Parallel Processing
C
C
C++
C++

Reviews from Early Learners

Reviews from Early Learners

4.9

5.0

몽크in도시

6% enrolled

The software installation was well explained and the source code was provided, making it easy to practice. Thank you for the great lecture, and I look forward to the next lecture.

5.0

georover

96% enrolled

The way you explain the lecture concept from the beginning really sticks in my head. Thank you.

5.0

장민우

60% enrolled

It's easy to understand cuda and it's good that it's related to the Linux OS. It's good to understand the parts of the computer hardware and the operation of the code at once.

What you will gain after the course

  • Full Series - Massively Parallel Computing with CUDA using GPUs

  • This course is - Part (1) - CUDA kernel concepts and practical coding

  • Update - July 2023, "Remastering"🍀(Some audio/video)

  • ✅Bundle Discount Coupon✳️ provided in the "CUDA Programming" roadmap

Speed is the lifeblood of a program!
Make it fast with massively parallel processing techniques 🚀

I heard large-scale parallel computing is important 🧐

GPU/graphics card-based massively parallel computing is being very actively used in fields such as AI, deep learning, big data processing, and image/video/audio processing. Currently, the most widely applied technology in GPU parallel computing is NVIDIA's CUDA architecture.

While technologies like massive parallel computing and CUDA are considered crucial in the field of parallel computing, it is often difficult to even start learning because it's hard to find courses that teach these subjects systematically. Through this course, you can learn CUDA programming step-by-step. CUDA and parallel computing require a theoretical background and can be challenging. However, if you follow from the basics with this course's abundant examples and background explanations, you can certainly do it! This course is planned as a series, ensuring sufficient lecture time is provided.

In this course, we aim to explain how C++/C programmers can combine CUDA libraries and C++/C functions to accelerate problems in various fields using large-scale parallel processing techniques. Through this method, you can accelerate existing C++/C programs or develop new algorithms and programs entirely with parallel computing to achieve breakthrough speed improvements.

📢 Please check before taking the course!

  • Please secure a hardware environment where NVIDIA CUDA works in advance for the practice. A PC/laptop equipped with an NVIDIA GeForce graphics card is essential.
  • While NVIDIA GeForce graphics cards can be used in some cloud environments, cloud settings change frequently and often involve costs. If you are using a cloud environment, you must personally ensure you know how to access and use the graphics card.
  • You can find detailed information about the lecture practice environment in the <00. Preparation Before the Lecture> video within the curriculum.

Course Features ✨

#1.
Abundant
examples and explanations

CUDA and massively parallel computing require abundant examples and explanations. This lecture series provides over 24 hours of actual instruction time.

#2.
Hands-on practice is a must!

Since this is a computer programming course, we emphasize extensive hands-on practice and provide actual working source code so that you can follow along step-by-step.

#3.
Focusing on the
important parts!

During the lecture, redundant explanations for previously covered source code are minimized as much as possible, allowing you to focus your learning on only the changed parts or sections that require emphasis.

Recommended for these people 🙋‍♀️

University students who want to add a portfolio of new technologies before getting a job

Programmers who want to drastically improve existing programs

Major researchers who want to know how various applications have been accelerated

Those who want to learn the theory and practice of parallel processing for AI, deep learning, and matrix computation

Course Review Preview 🏃

*The reviews below are for an external lecture conducted by the instructor on the same topic.

"I knew nothing about parallel algorithms or parallel computing, but
after taking the course, I gained confidence in parallel computing."

"There were many algorithms that I couldn't solve with existing C++ programs,
but through this lecture, I was able to improve them to enable real-time processing!"

"When I mentioned I had experience in parallel computing during an interview after taking this course, the interviewers were very surprised.
They said it's not easy to find CUDA or parallel computing courses at the undergraduate level."

CUDA Programming Mastery Roadmap 🛩️

  • The CUDA programming course was designed as a 7-part series with a total of over 24 hours of content to enhance focus on the subject matter.
  • The roadmap course "CUDA Programming" is also available. Please be sure to check it out. ✅
  • Each lecture consists of 6 or more sections, and each section covers an independent topic. (The current lecture, Part 0, consists of 2 sections and provides only the Introduction.)
  • The slides used in the lecture are provided as PDF files, and the program source code used in the sections where practical examples are explained is also provided.

Part 0 (1-hour free lecture)

  • Introduction to MPC and CUDA - This is an introduction section providing an overall overview of MPC and CUDA.

Part 1 (3 hours 40 minutes)Current Lecture

  • CUDA kernel concept - Learn the concept of CUDA kernel, the starting point of CUDA programming, and see parallel computing in action.

Part 2 (4 hours 15 minutes)

  • vector addition - Presents operations between vectors in the form of 1D arrays through various examples and implements the AXPY routine using CUDA.

Part 3 (4 hours 5 minutes)

  • memory hierarchy - Learn the memory structure, which is the core of CUDA programming. Implement examples such as matrix addition and adjacent difference.

Part 4 (3 hours 45 minutes)

  • matrix transpose & multiply - Presents operations between matrices in 2D array format through various examples and implements the GEMM routine using CUDA.

Part 5 (3 hours 55 minutes)

  • atomic operation & reduction - Along with an understanding of CUDA control flow, learn everything from problem definitions to solutions for atomic operations and reduction. Also, implement the GEMV routine using CUDA.

Part 6 (3 hours 45 minutes)

  • search & sort - Learn examples of effectively implementing search-all problems, even-odd sort, bitonic sort, and counting merge sort using the CUDA architecture.

CUDA Programming and
Massive Parallel Computing Mastery Complete!

Q&A 💬

Q. What are the reviews for the paid courses like?

Since the paid lectures are being released sequentially from (1) to (6), the reviews are scattered and currently set to private. The paid lectures have received the following reviews so far.

  • It was very helpful because you explained in detail the process of maximizing performance by applying various techniques to a single example.
  • It was much easier to understand because the memory structures and logic were explained through visualization.
  • While studying AI in a vague way, it's great to be able to add in-depth content about devices.
  • The software installation was well-explained and the source code was provided, making it easy to practice.

Q. Is this a lecture that non-majors can take?

  • C++ programming experience is required to some extent. At the very least, you should have experience with C programming. Although all examples are written as simply as possible, they are all provided in C++/C code, and the functions provided by malloc, memcpy, etc., are not explained separately.
  • However, if you have an understanding of computer architecture (registers, cache memory, etc.), operating systems (time-sharing, etc.), and compilers (code generation, code optimization), you will be able to understand the course content more deeply.
  • This course was originally designed as an advanced study for senior computer science majors at four-year universities.

Q. Is there anything I need to prepare before taking the course? Are there any reference materials regarding the course (required environment, other precautions, etc.)?

  • You must secure a hardware environment where NVIDIA CUDA works for the practice sessions in advance. A PC/laptop equipped with an NVIDIA GeForce graphics card is absolutely necessary.
  • Although NVIDIA GeForce graphics cards can be used in some cloud environments, cloud settings change frequently and often involve costs, so if you are using a cloud environment, you must resolve the method of using the graphics card yourself.

Q. To what level does the course content cover?

  • Starting from Part 0 and moving up from Part 1 to Part 6, the course requires deeper theory and a greater level of understanding.
  • We strongly recommend that you watch the courses in order from Part 0 to Part 6.
  • The counting merge sort covered at the end of Part 6 is a problem difficult enough that even professional researchers may find it hard to follow immediately. However, off-line students who followed along step-by-step were more often able to understand it smoothly based on their learning from the previous sections.

Q. Is there a reason for setting a course enrollment period?

  • The reason for setting a course enrollment period is that, due to the nature of the computer science field, there is a high possibility that the content of this lecture will already be outdated by that time.
  • By then, I will see you again in a new course. 😄

Q. Are there subtitles in the videos?

  • Yes. Currently, all videos include subtitles.
  • However, some videos added in the future may not have subtitles.

Information regarding fonts used in lecture materials ✔️

Recommended for
these people

Who is this course right for?

  • Those who want to accelerate array/matrix/image processing, statistical processing, sorting, etc., using C++ based parallel computing/parallel processing.

  • Those who want to accelerate their own developed programs using parallel computing/CUDA.

  • Those who wish to study NVIDIA CUDA programming/CUDA computing from the basics.

  • Those who want to study both the theory and practice of GPU parallel processing/parallel computing in a balanced way.

Need to know before starting?

  • C++ or C programming experience

  • It is even better if you have knowledge of computer architecture, registers, caches, time sharing, etc.

Hello
This is onemoresipofcoffee

9,641

Learners

298

Reviews

65

Answers

4.9

Rating

30

Courses

One more cup of drip coffee for the road

Curriculum

All

48 lectures ∙ (3hr 42min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

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23 reviews

4.9

23 reviews

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            If you have studied basic grammar, you naturally want to try making something, right? This is a lecture designed to help beginner C++ programmers become proficient in object-oriented programming by creating simple games. We provide the 'minimum' code needed to start game programming on your own and share object-oriented know-how that cannot be mastered through grammar study alone. Have fun creating and quickly leap to an intermediate level or beyond!

            Intermediate

            Intermediate

            C++, oop, OpenGL

            Hong Jung-mo's Game Development Practice Problem PackageCourse Thumbnail

            Hong Jung-mo's Game Development Practice Problem Package

            honglab

            LLM Finetuning : RunPod and Multi-GPU PracticeCourse Thumbnail

            LLM Finetuning : RunPod and Multi-GPU Practice

            danielyouk

            Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.

            Basic

            Basic

            LLM, RunPod, openAI API

            LLM Finetuning : RunPod and Multi-GPU PracticeCourse Thumbnail

            LLM Finetuning : RunPod and Multi-GPU Practice

            danielyouk

            [Jushin Game Academy Burger Teacher] Game C++ for complete beginnersCourse Thumbnail

            [Jushin Game Academy Burger Teacher] Game C++ for complete beginners

            jusingameacademy

            "I want to become a game developer!" For all beginners who aim to become game developers, Jushin Game Academy has prepared a C++ lecture for pure beginners! This is a lecture that explains the grammar in an easy way so that even complete beginners can understand it easily, rather than going into depth. Students who want to study in depth, please wait for the advanced C++ lecture that will be opened later!

            Beginner

            Beginner

            C++, C

            [Jushin Game Academy Burger Teacher] Game C++ for complete beginnersCourse Thumbnail

            [Jushin Game Academy Burger Teacher] Game C++ for complete beginners

            jusingameacademy

            Self-Programming Basic Data Structures/Algorithms (C++)Course Thumbnail

            Self-Programming Basic Data Structures/Algorithms (C++)

            eazuooz

            Easily learn data structures and algorithms, which were difficult to learn with C++, in easy steps. Unlike typical lectures, this course combines data structures and algorithms, allowing you to learn them simultaneously while considering their interrelationships.

            Basic

            Basic

            Algorithm, C++, C

            Self-Programming Basic Data Structures/Algorithms (C++)Course Thumbnail

            Self-Programming Basic Data Structures/Algorithms (C++)

            eazuooz

            [IT Master Class] Let's Code the C++ WayCourse Thumbnail

            [IT Master Class] Let's Code the C++ Way

            contents

            C++ programming methods required in the field! It's time to move beyond C-style coding and start coding like a true C++ developer. This course is designed to help you build fundamental programming skills by learning the basic syntax of C++ step-by-step, growing to a level where you can apply them immediately in real-world practice. You can create practical projects using Arduino or develop the programming skills necessary for game development using Unreal Engine. Through this course, you will naturally boost your programming confidence and become comfortable utilizing C++ in practical applications.

            Beginner

            Beginner

            C++

            [IT Master Class] Let's Code the C++ WayCourse Thumbnail

            [IT Master Class] Let's Code the C++ Way

            contents

            Making Your First Robot for Absolute Beginners: An Introduction to Robotics Starting with OTTO DIYCourse Thumbnail

            Making Your First Robot for Absolute Beginners: An Introduction to Robotics Starting with OTTO DIY

            happyloper

            This course goes beyond simple kit assembly; it is a process of building the open-source project Otto DIY from scratch. We have included everything from the secrets of component selection and hardware operating principles to Arduino coding (functions, variables, loops), and even the troubleshooting know-how for voltage drops, which beginners find most challenging. Don't just stop at theory—develop the skills of a 'true robot maker' by completing your own smartphone-controlled robot!

            Beginner

            Beginner

            C++, Arduino, Embedded

            Making Your First Robot for Absolute Beginners: An Introduction to Robotics Starting with OTTO DIYCourse Thumbnail

            Making Your First Robot for Absolute Beginners: An Introduction to Robotics Starting with OTTO DIY

            happyloper

            Yoonpago's Information Processing Engineer DB/Programming All-In-OneCourse Thumbnail

            Yoonpago's Information Processing Engineer DB/Programming All-In-One

            yoonpago93

            If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

            Beginner

            Beginner

            Engineer Information Processing, DBMS/RDBMS, C

            Yoonpago's Information Processing Engineer DB/Programming All-In-OneCourse Thumbnail

            Yoonpago's Information Processing Engineer DB/Programming All-In-One

            yoonpago93

            Windows System Programming - BasicsCourse Thumbnail

            Windows System Programming - Basics

            nullnull8537

            A must-take course for anyone thinking of becoming a Windows programmer! Have you studied C/C+, data structures, and operating system theory? If so, studying system programming is the answer now. Now it's time for practice!

            Intermediate

            Intermediate

            C, vc++, system-programming

            Windows System Programming - BasicsCourse Thumbnail

            Windows System Programming - Basics

            nullnull8537

            MFC Windows Programming - BasicsCourse Thumbnail

            MFC Windows Programming - Basics

            nullnull8537

            Anyone who is a C/C++ developer can get started. You can quickly learn MFC Windows programming by selecting only the core. We also provide a 1200-page textbook.

            Basic

            Basic

            mfc, vc++, C++

            MFC Windows Programming - BasicsCourse Thumbnail

            MFC Windows Programming - Basics

            nullnull8537

            Secure Coding in CCourse Thumbnail

            Secure Coding in C

            jikim1770

            Secure Coding in C covers concepts such as buffer overflow, memory management, and vulnerability prevention to ensure the development of safe and reliable software applications.

            Basic

            Basic

            secure-coding, C, buffer-overflow

            Secure Coding in CCourse Thumbnail

            Secure Coding in C

            jikim1770

            $38.50