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Equation 14 · When the Substrate Became the Product

What does this equation mean?

Ypkg=Yassy∏i=1NYi.Y_{\mathrm{pkg}} = Y_{\mathrm{assy}} \prod_{i=1}^{N} Y_i .

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Inputs and operationsY_assy prod_i=1^N Y_i
Result or conditionY_pkg
How to read the two sides of this formula. Follow the article passage for the meaning of each quantity.

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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YpkgY_{\mathrm{pkg}}

Symbol Y_pkg

YpY_pkg is part of the quantity the equation computes from the expression on the right.

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YassyY_{\mathrm{assy}}

Symbol Y_assy

YaY_assy is an input to the expression that computes the quantity on the left.

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ii

Symbol i

i appears in the bound of this product. The bound states where the repeated operation starts, ends, or which values it includes.

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NN

Symbol N

N appears in the bound of this product. The bound states where the repeated operation starts, ends, or which values it includes.

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YiY_i

Symbol Y_i

the dies with individual probabilities.

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=

=

The expressions on both sides represent the same quantity under the stated assumptions.

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subscript

subscript

The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.

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superscript

superscript

A raised number can be a power. When it is a label or bound, it selects a case or the upper limit of a sum; the formula’s structure distinguishes these uses.

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i=1i=1

Starting index or lower bound: i=1

This label says where the repeated addition, multiplication, or accumulation starts. Read its value or condition together with the article’s description of the index.

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NN

Ending index or upper bound: N

This label says where the repeated addition, multiplication, or accumulation stops. It sets the last term or end of the range.

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How to interpret it

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What the article says around this equation

A multi-die package inherits a property that a single die does not have: its yield is a product, not a term. If a package contains dies with individual probabilities YiY_i of being good, and the assembly itself succeeds with probability YassyY_{\mathrm{assy}} , then Ypkg=Yassy∏i=1NYiY_{\mathrm{pkg}} = Y_{\mathrm{assy}} \prod_{i=1}^{N} Y_i . Multiplication is brutal at scale. Eight components at 99 percent each land near 92 percent together before assembly loss is counted; the same eight at 95 percent land near 66 percent. And the loss is not proportional to the failing part — scrapping a package destroys every good die in it plus the assembly work. This is precisely why known-good-die testing dominates the discussion: the whole point is to move the YiY_i…
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A multi-die package inherits a property that a single die does not have: its yield is a product, not a term. If a package contains dies with individual probabilities YiY_i of being good, and the assembly itself succeeds with probability YassyY_{\mathrm{assy}} , then Ypkg=Yassy∏i=1NYiY_{\mathrm{pkg}} = Y_{\mathrm{assy}} \prod_{i=1}^{N} Y_i . Multiplication is brutal at scale. Eight components at 99 percent each land near 92 percent together before assembly loss is counted; the same eight at 95 percent land near 66 percent. And the loss is not proportional to the failing part — scrapping a package destroys every good die in it plus the assembly work. This is precisely why known-good-die testing dominates the discussion: the whole point is to move the YiY_i terms as close to unity as possible before dies are committed to an assembly that cannot be undone.

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