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Published equation contexts

I∗=Pmax⁡βI^{*} = \frac{P_{\max}}{\beta}

Why this formula appears here

That expression is the whole model, and it has one structural feature that matters more than the rest. The two bounds cross at a ridge point I∗=Pmax⁡βI^{*} = \frac{P_{\max}}{\beta}. the arithmetic intensity a workload must exceed before the machine’s peak rate is even theoretically reachable. Below I∗I^{*} the kernel is memory bound and no amount of additional arithmetic capability changes its runtime. Above it the kernel is compute bound and no amount of additional bandwidth helps.

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With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.

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Published contexts (1)

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I∗=Pmax⁡β,I^{*} = \frac{P_{\max}}{\beta},

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This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

That expression is the whole model, and it has one structural feature that matters more than the rest. The two bounds cross at a ridge point I∗=Pmax⁡βI^{*} = \frac{P_{\max}}{\beta}. the arithmetic intensity a workload must exceed before the machine’s peak rate is even theoretically reachable. Below I∗I^{*} the kernel is memory bound and no amount of additional arithmetic capability changes its runtime. Above it the kernel is compute bound and no amount of additional bandwidth helps.

Meanings in this article

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