DocumentCode
710627
Title
Testing of 3D-stacked ICs with hard- and soft-dies - a Particle Swarm Optimization based approach
Author
Karmakar, Rajit ; Agarwal, Aditya ; Chattopadhyay, Santanu
Author_Institution
Dept. of Electron. & Electr. Comm. Eng, Indian Inst. of Technol. Kharagpur, Kharagpur, India
fYear
2015
fDate
27-29 April 2015
Firstpage
1
Lastpage
6
Abstract
This paper presents a test architecture optimization and test scheduling strategy for TSV based 3D-Stacked ICs (SICs). A test scheduling heuristic, that can fit in both session-based and session-less test environments, has been used to select the test concurrency between the dies of the stack. The proposed method minimizes the overall test time of the stack, without violating the system level resource and TSV limits. Particle Swarm Optimization (PSO) based meta search technique has been used to select the resource allocation of individual dies and also their internal test schedules. Incorporation of PSO in two stages of optimization produces a notable reduction in the overall test time of SIC. Experimental results show that upto 51% reduction in test time can be achieved using our strategy, over the existing techniques.
Keywords
circuit optimisation; integrated circuit testing; particle swarm optimisation; resource allocation; scheduling; three-dimensional integrated circuits; PSO; SIC; TSV based 3D-stacked IC; hard-dies; internal test schedules; metasearch technique; particle swarm optimization; resource allocation; session-based test environments; sessionless test environments; soft-dies; system level resource; test architecture optimization; test concurrency; test scheduling heuristic; test scheduling strategy; through-silicon-via; Optimization; Pins; Schedules; Stacking; Testing; Three-dimensional displays; Through-silicon vias; 3D-SIC; Optimization; PSO; TSV; Test scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Test Symposium (VTS), 2015 IEEE 33rd
Conference_Location
Napa, CA
Type
conf
DOI
10.1109/VTS.2015.7116268
Filename
7116268
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