Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster
Kai Zoschke, Maurice G\"uttler, Lars B\"ottcher, Andreas Gr\"ubl, Dan, Husmann, Johannes Schemmel, Karlheinz Meier, Oswin Ehrmann

TL;DR
This paper presents advanced wafer redistribution and embedding technologies enabling large-scale neuromorphic hardware systems, achieving high yield and scalable integration through innovative reticle routing and PCB embedding methods.
Contribution
The paper introduces novel wafer redistribution and embedding techniques specifically designed for large-scale neuromorphic hardware, demonstrating high yield and scalable system assembly.
Findings
High yield (>99.9%) in wafer interconnection.
Successful embedding of thinned wafers into PCBs.
Robustness of embedded wafers over thermal cycling.
Abstract
Together with the Kirchhoff-Institute for Physics(KIP) the Fraunhofer IZM has developed a full wafer redistribution and embedding technology as base for a large-scale neuromorphic hardware system. The paper will give an overview of the neuromorphic computing platform at the KIP and the associated hardware requirements which drove the described technological developments. In the first phase of the project standard redistribution technologies from wafer level packaging were adapted to enable a high density reticle-to-reticle routing on 200mm CMOS wafers. Neighboring reticles were interconnected across the scribe lines with an 8{\mu}m pitch routing based on semi-additive copper metallization. Passivation by photo sensitive benzocyclobutene was used to enable a second intra-reticle routing layer. Final IO pads with flash gold were generated on top of each reticle. With that concept…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · CCD and CMOS Imaging Sensors
MethodsPart-based Convolutional Baseline
