A compressive-sensing based testing vehicle for 3D TSV pre-bond and post-bond testing data

Hantao Huang, Hao Yu, Cheng Zhuo, Fengbo Ren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Online testing vehicle is required for 3D TSV pre-bond and post-bond testing due to high probability of TSV failures. It has become a challenge to deal with large sets of generated testing data with limited probing when transmitting the data out. In this paper, a lossless compressive-sensing based testing vehicle is developed for online testing of TSVs. By exploring sparsity of the testing data under constraint of failure bound of TSV, sparse-representation based encoding can be deployed by XOR and AND network on chip to deal with large volume of testing data. Experimental results (with benchmarks) have shown that 89.70% pre-bond data compression rate can be achieved under 0.5% probability of failures; and 88.18% post-bond data compression rate can be achieved with 5% probability of failures.

Original languageEnglish (US)
Title of host publicationISPD 2016 - Proceedings of the 2016 International Symposium on Physical Design
PublisherAssociation for Computing Machinery
Pages19-25
Number of pages7
ISBN (Electronic)9781450340397
DOIs
StatePublished - Apr 3 2016
Event2016 International Symposium on Physical Design, ISPD 2016 - Santa Rosa, United States
Duration: Apr 3 2016Apr 6 2016

Publication series

NameProceedings of the International Symposium on Physical Design
Volume03-06-April-2016

Other

Other2016 International Symposium on Physical Design, ISPD 2016
Country/TerritoryUnited States
CitySanta Rosa
Period4/3/164/6/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A compressive-sensing based testing vehicle for 3D TSV pre-bond and post-bond testing data'. Together they form a unique fingerprint.

Cite this