2022 IEEE 72nd Electronic Components and Technology Conference (ECTC) 2022
DOI: 10.1109/ectc51906.2022.00137
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Panel-Based Large-Scale RDL Interposer Fabricated Using 2-μm-Pitch Semi-Additive Process for Chiplet-Based Integration

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Cited by 13 publications
(5 citation statements)
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“…The output tensor of the convolution network can be compressed into a vector of size QLin. Q Lin = P nx × P ny × P nz (11) where Pnx, Pny and Pnz are the output tensor size in the X, Y and Z directions, respectively. The hidden layer can be represented by vector as (10):…”
Section: Ann Architecturesmentioning
confidence: 99%
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“…The output tensor of the convolution network can be compressed into a vector of size QLin. Q Lin = P nx × P ny × P nz (11) where Pnx, Pny and Pnz are the output tensor size in the X, Y and Z directions, respectively. The hidden layer can be represented by vector as (10):…”
Section: Ann Architecturesmentioning
confidence: 99%
“…Q Lin = P nx × P ny × P nz (11) where P nx , P ny and P nz are the output tensor size in the X, Y and Z directions, respectively.…”
Section: Ann Architecturesmentioning
confidence: 99%
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“…Figure14 show L/S=1/1um trace with protective layer. Nonorganic layer enhance highly reliability on the narrow pitch under 4um[3].…”
mentioning
confidence: 99%
“…To reduce the number of metal layers needed to achieve this complex routing, the critical dimensions of the RDL lines must be decreased [1]. Among the various options recently proposed [2][3][4], the most promising approach utilizes a dual damascene patterning with copper lines embedded in a high-resolution photosensitive polymer [1,5]. Owing to the chemical-mechanical polishing (CMP) step of the damascene process, the flatness of the stack is guaranteed, enabling additional metal layers to be processed at resolution limit.…”
mentioning
confidence: 99%