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Equation 30 · Part 9 · What an AI Accelerator Actually Is: Silicon, Packaging, and the Memory It Can Reach

addition

Tallreduce≈2 (p−1) α+2 p−1p⋅Nβlink,T_{\mathrm{allreduce}} \approx 2\,(p-1)\,\alpha + 2\,\frac{p-1}{p}\cdot\frac{N}{\beta_{\mathrm{link}}},
addition

What this part means

Add the term after the plus sign to the term or group before it.

Its job in the formula

Add the term after the plus sign to the term or group before it.

The passage around this formula

Their cost has a shape worth internalising. For the standard ring formulation of an all-reduce over p devices and N bytes, the operation decomposes into a reduce-scatter followed by an all-gather, each of p - 1 steps in which every device sends N/p bytes. Total time is approximately Tallreduce≈2 (p−1) α+2 p−1p⋅NβlinkT_{\mathrm{allreduce}} \approx 2\,(p-1)\,\alpha + 2\,\frac{p-1}{p}\cdot\frac{N}{\beta_{\mathrm{link}}}. with α\alpha the per-step latency and βlink\beta_{\mathrm{link}} the per-link bandwidth. The bandwidth term approaches 2N/βlink\beta_{\mathrm{link}} and stops growing with p ; the latency term grows linearly in p . Small, frequent collectives are therefore latency bound and scale badly, while large ones are bandwidth bound and scale well — which is precisely why gradient bucketing and overlapping…

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Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.

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