eprintid: 23723
rev_number: 13
eprint_status: archive
userid: 3278
dir: disk0/00/02/37/23
datestamp: 2017-11-24 12:57:38
lastmod: 2017-12-21 11:04:25
status_changed: 2017-11-24 12:57:38
type: doctoralThesis
metadata_visibility: show
creators_name: Güttler, Gilbert Maurice
title: Achieving a Higher Integration Level of Neuromorphic Hardware using Wafer Embedding
subjects: ddc-530
divisions: i-130700
adv_faculty: af-13
keywords: Silicon, Wafer, Embedding, PCB, Neuromorphic Hardware, HICANN
abstract: This thesis investigates the application of a chip packaging technology on a silicon wafer for a neuromorphic hardware system. The procedure embeds a complete silicon wafer into a printed circuit board (PCB). The embedding procedure was developed together with the Fraunhofer Institute for Reliability and Microintegration in Berlin. At first bare silicon disks were embedded into PCBs to find the correct material selection and the suitable stack up.
Finally, the HICANN wafers of the Electronic Visions Group, which are employed in the BrainScaleS system, were embedded into PCBs. For that reason 20 cm wafers are thinned down to 250 μm and the redistribution layer (RDL) pads get an additional copper layer. The Deep EvolutioN in System Embedding (DENSE) board has two copper layers and uses microvias for the connections to the wafer. Existing software of the BrainScaleS system is used to test and characterize the DENSE board. The tests cover the communication to the wafer and the functionality of the analog parameter storage and the neuron circuits.
It is shown that the embedding process has no influence on the circuits and on the RDLs of the wafer. Additionally, the long-term reliability of the board was tested in a climate cabinet by conducting an accelerated environmental stress test. No failures were observable on the DENSE board.
date: 2017
id_scheme: DOI
id_number: 10.11588/heidok.00023723
ppn_swb: 1657505839
own_urn: urn:nbn:de:bsz:16-heidok-237235
date_accepted: 2017-11-14
advisor: HASH(0x55f3690c11b0)
language: eng
bibsort: GUTTLERGILACHIEVINGA2017
full_text_status: public
place_of_pub: Heidelberg
citation:   Güttler, Gilbert Maurice  (2017) Achieving a Higher Integration Level of Neuromorphic Hardware using Wafer Embedding.  [Dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/23723/1/guettler_diss_300dpi.pdf