Direct Bonded Heterogeneous Integration (DBHi): Surface Bridge Approach for Die Tiling
Why this work is in the frame
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Bibliographic record
Abstract
With a continuous focus to maximize computational performance by optimizing package size and reducing fabrication costs, this paper presents the most recent advances on the technology of DBHi (Direct Bonded Heterogeneous Integration) packages as a chiplet packaging technology. The optimizations of DBHi are realized by decreasing the bridge chip thickness from <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{200}\ \boldsymbol{\mu} \mathbf{m}$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{60}\ \boldsymbol{\mu} \mathbf{m}$</tex> and using copper pillars for interconnect, thus enabling the use of standard laminates. The bridge chip that links two main chips features exceptionally fine pitch interconnects <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{30}-\mathbf{75}\ \boldsymbol{\mu} \mathbf{m})$</tex> with the help of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol{\mu} \mathbf{C}\mathbf{4}$</tex> providing flexibility in laminate signal routing by eliminating the cavity in the laminate. The assembly method of the sub-assemblies (2 main chips joined to a silicon bridge) has been optimized to achieve robust and reliable joints, the silicon bridge and the main dies are subjected to a preliminary preparation which involves the positioning of the sub-assemblies with TCB (thermocompression bonding) and reflow process for optimal solder joints. This process is achieved without the use of handlers for the bridge die. This paper also documents a comprehensive FEM model describing the effect of bridge thickness, presence of laminate recess and C4 height on package stress.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it