Mastering GPU Parallel Programming with CUDA: ( HW & SW ) Course includes 23 hrs video content and enrolled by 4K+ students and received a 4.7 average review out of 5. Now, you will get 90%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.
What you’ll learn
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Comprehensive Understanding of GPU vs CPU Architecture
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learn the history of graphical processing unit (GPU) until the most recent products
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Understand the internal structure of GPU
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Understand the different types of memories and how they affect the performance
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Understand the most recent technologies in the GPU internal components
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Understand the basics of the CUDA programming on GPU
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Start programming GPU using both CUDA on Both windows and linux
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understand the most efficient ways for parallelization
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Profiling and Performance Tuning
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Leveraging Shared Memory
Can I download Mastering GPU Parallel Programming with CUDA: ( HW & SW ) course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Mastering GPU Parallel Programming with CUDA: ( HW & SW ), learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
