CUDA is an advanced software instrument that is ideally designed to perform parallel programing on GPUs. IT gives the developers a competitive advantage over traditionalistic methods. If you're interested in learning active CUDA, we have compiled a listing of few of the Best CUDA Classes, Tutorials, Courses, Training, and Certification programs available online. This list comprises all the essential study corporeal with high-quality videos and custody-on projects to cater you the best encyclopaedism experience. Besides, the courses are ideal for beginners, intermediates, as well as experts. Have a look at our compiling of Programming Language Courses.
3 Champion CUDA Courses [2022 Jan] [UPDATED]
1. CUDA Programming Masterclass with C++ (Udemy)
If you want to learn how CUDA helps perform parallel scheduling on GPUs, this course of instruction from Udemy is an allow choice. With this academic session, you'll learn everything approximately CUDA, from the basic concepts to advance algorithm implementations. You'll get introduced to CUDA scheduling and the programming model that is used for duplicate programing. The course consists of quadruple learning modules that are centred on covering several aspects of CUDA. Besides, it is enclosed with lots of programming exercises and quizzes offered to help you practice your skills.
Paint USPs –
– Gain a detailed view of CUDA computer software and tools you said it to put in CUDA toolkit while having a tone at the CUDA programming.
– Know about the basic workflow of parallel algorithm design and gain the power to design and put through optimized duplicate algorithms.
– Comprehend essential topics related to the CUDA execution model, such equally resource sectionalization, profile-driven optimisation, parallel reduction, CUDA changing parallelism, etc.
– Enroll in the incentive video lecture focused on image processing with CUDA to help you learn about digital image processing.
– Discuss profiling techniques and around strange CUDA tools, including NVVP, NvProf, CUDA Memcheck, and more.
Duration: 10-11 hours
Rating: 4.4 out of 5
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Review: This is an excellent course to start CUDA programming. Concepts are well explained both theoretically and with code. – Raj Prasanna.
2. Parallel Computing with CUDA (Plural Sight)
This is an entry-rase course ideally designed for beginners who are just beginning with the CUDA nonintersecting programming. Joining this learning session will express you how to stimulate started with the CUDA political platform and leverage NVIDIA GPUs power. The course is matured by Dmitri Nesteruk, World Health Organization is a nonrecreational developer, podcaster, and technical gospeller. During the video lectures, the instructor will helper you cover CUDA C's basics while explaining the GPU computer architecture and presents solutions to some of the standard computational problems. Completing this session with given quizzes and assignments will provide you a certification of completion to share with your resume and LinkedIn profile. Check out our list of Sunday-go-to-meeting Parallel Computer science Courses.
Florida key USPs –
– An prefatory course focused on teaching you about the history of CUDA, how IT is stabilising in parallel programming for GPUs, and more.
– Learn about the history of GPU computation, graphic central processor computer architecture, using NSight, Profiling, and much much.
– Spread over multiple essential topics related to CUDA, much as parallel programming patterns, microscopical operations, types of computer memory, etc.
– Know astir the types of memories used in parallel programming, much as global memory, constant and texture memory, shared retentivity, and local memory.
Duration: 4-5 hours
Rating: 4.5 out of 5
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3. Basic principle of Accelerated Computing with CUDA C/C++ (NVIDIA Courses)
It's forever best to determine from the one who has developed the CUDA software. NVIDIA, a well-known name in the graphics market, offers multiple courses to help individuals pick up about accelerated programming. This course is well-intentioned to learn you how the CUDA calculation platform accelerates of CPU-only applications to keep going the world's fastest GPUs. Joining this program requires basic knowledge of the C/C++ language, familiarity with shifting types, loops, functions, and manipulations. Obscure from this program, you can enroll yourself in other related programs, including Accelerating CUDA C++ Applications, Grading Workloads across Multiple GPUs with CUDA C++.
Paint USPs –
– Learn how to utilise essential CUDA memory management techniques for optimizing accelerated applications.
– Learn to leverage dominate line and visual profiling that volition guide you to chit your work after completion.
– Read to quicken CPU-lonesome applications to run their latent correspondence on GPUs while getting photograph to accelerated applications potential for concurrency.
– Be able to speed and optimize existing C, C++ CPU applications with the CUDA tools and techniques.
– Gain an understanding of the iterative style of CUDA development to shipping accelerated applications quickly.
Duration: 8 hours
Rating: 4.4 out of 5
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The above courses will help you enough earlier your CUDA journey. They are processed by some of the advisable instructors in the industriousness with years of experience working with CUDA tools. So, take the opportunity to learn CUDA from your home.
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3 Best CUDA Courses [2022 JANUARY] [UPDATED] Free Download
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