Not every developer who might like to learn CUDA has access to an NVIDIA GPU, so by expanding the hardware that CUDA can target to include x86, you'll be able to get your feet wet with CUDA on ...

What you’ll learn: Differences between CUDA and ROCm. What are the strengths of each platform? Graphics processing units are traditionally designed to handle graphics computational tasks, such ...

I implemented all four algorithms in one C++ program that can switch between the CPU and the CUDA versions of the algorithms dynamically. Not only does this make the benchmarking process easier, but ...