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copied!<p>I'd be very caution on making this kind of comparison. After all even in the GPU world the term "core" depending on the context has really different capability: the new AMD GCN is quite different from the old VLIW4 one which itself is quite different from the CUDA core one. <br/> Besides that, you will bring more puzzlement than understanding to your audience if you make just one small comparison with CPU and that's it. If I were you I'd still go for a more detailed (can still be quick) comparison. <br/>For instance someone used to CPU and with little knowledge of GPU, might wonder how come a GPU can have so many registers though it's so expensive (in the CPU world). An explanation to that question is given at the end of this <a href="http://www.yosefk.com/blog/simd-simt-smt-parallelism-in-nvidia-gpus.html">post</a> as well as some more comparison GPU vs CPU. </p> <p>This other <a href="http://web.engr.oregonstate.edu/~palacijo/cs570/final.pdf">article</a> gives a nice comparison between these two kind of processing units by explaining how GPUs work but also how they evolved and showing the differences with CPUs. It addresses topics like data flow, memory hierarchy but also for what kind of applications a GPU is useful. After all the power a GPU can developed is accessible (efficiently) only for some types of problems.<br/> And personally, If I had to make a presentation about GPU and had the possibility to make <em>only one reference to CPU</em> it would be this: presenting the problems a GPU can solve efficiently vs those a CPU can handle better. <br/> As a bonus even though it's not related directly to your presentation here is an <a href="http://pcl.intel-research.net/publications/isca319-lee.pdf">article</a> that put GPGPU in perspective, showing that some speedup claimed by some people are overrated (this is linked to my last point btw :))</p>

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