News - NVIDIA: Intel's own research backs up GeForce GPU supremacy

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NVIDIA encourages you to read some Intel research.

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Read more.

As always with GPU tasks, it only applies to parallel applications. I can find thousands of serial applications which work orders of magnitude better on a CPU, and you can't run them all in parallel on a GPU based on GPU limitations.

A > B if C. A < B if not C.

A compute kernel isn't the same as an OS kernel. A compute kernel is a set of operations to perform on streaming data, whereas an OS kernel is the thing that controls all the inter-process messaging, memory protection, etc. GPUs wouldn't generally be able to run an OS kernel well as there's a lot of one-time branchy, unpredictable code. A compute kernel is very well suited to streaming data, SIMD, and parallelism.

I know - I work in CUDA. I'm merely pointing out that if you narrow down the parameters enough, then sure, a GPU will outperform a CPU for a specific task.

Oh, I wasn't criticising you at all - more the article itself. :)

I swear the article originally included something about kernels driving Operating Systems, which isn't the same sort of kernel at all. Has the article been edited?