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η≈LL+r+c−2\eta \approx \frac{L}{L + r + c - 2}

Why this formula appears here

while the useful work performed is r ⋅\cdot c ⋅\cdot L multiply-accumulates — one per cell, once per streamed step, in steady state. Dividing useful work by the total cell-cycles available, r ⋅\cdot c ⋅\cdot T , gives an idealised utilization η≈LL+r+c−2\eta \approx \frac{L}{L + r + c - 2}. As the streamed sequence L grows large relative to the array’s dimensions, η\eta approaches one and the fill-and-drain overhead becomes negligible. But when L is comparable to r and c — a small batch, a short sequence, a matrix dimension that barely exceeds the array’s own size — the overhead is not a rounding error, it is a large fraction of every pass through the array. This is a simplified model, not a specification of any one…

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η\eta

Symbol eta

eta is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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LL

Symbol L

L is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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rr

Symbol r

r occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

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cc

Symbol c

c occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

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L+r+c−2L + r + c - 2

Denominator: L + r + c - 2

The complete quantity below the fraction bar; it must be nonzero for this division.

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How to interpret it

With a fixed numerator, increasing a nonzero denominator reduces the fraction. Its accuracy depends on the assumptions and range of use described in the article.

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Published contexts (1)

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η≈LL+r+c−2.\eta \approx \frac{L}{L + r + c - 2}.

Equation 13 · Semiconductors

How AI Accelerator Architecture Actually Works

This equation gives an approximation: it relates the quantities while allowing an approximation.

while the useful work performed is r ⋅\cdot c ⋅\cdot L multiply-accumulates — one per cell, once per streamed step, in steady state. Dividing useful work by the total cell-cycles available, r ⋅\cdot c ⋅\cdot T , gives an idealised utilization η≈LL+r+c−2\eta \approx \frac{L}{L + r + c - 2}. As the streamed sequence L grows large relative to the array’s dimensions, η\eta approaches one and the fill-and-drain overhead becomes negligible. But when L is comparable to r and c — a small batch, a short sequence, a matrix dimension that barely exceeds the array’s own size — the overhead is not a rounding error, it is a large fraction of every pass through the array. This is a simplified model, not a specification of any one…

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