This is Course 2/4 of Coursera’s GPU Programming Specialization. Really getting to the essentials of how to do GPU programming!
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GPU Programming 6: Non-Global Memory
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The last two modules of Introduction to Parallel Programming with CUDA go over the other major types of memory and how to interact with them. I’m also going to add a bit of my own commentary and things that weren’t fully explored in the course. Memory Overview Let’s look at a bird’s eye view…
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GPU Programming 5: Memory, In Depth
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While module 3 of Introduction to Parallel Programming with CUDA has a really helpful section about how to use the command nvidia-smi to look at your GPU and the current load, the main focus is sharing data between the GPU and the CPU. It’s a helpful bird’s eye view and it gestures at the…
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GPU Programming 4: Actual CUDA!
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I’m combining ending the final module of Introduction To Concurrent Programming and the first two modules of Introduction to Parallel Programming in CUDA since all three of these modules focus on the same type of material: what is the most basic CUDA programming? How does it flow? What are the first questions you need…