Production-Oriented Design for High Parallel Test Efficiency

As the importance and complexity of System-on-Chip (SoC) testing increase, research to enhance test efficiency is being conducted. Among these, research is ongoing to reduce the number of pins used in testing through internal test modules in the Device Interface Board (DIB) application area. However, the existing test modules were designed without considering the actual mass production environment, making them unsuitable for application in the actual chip fabrication process. In this paper, we propose a method that offers enhanced error detection capabilities and high parallelism, implementing additional functionalities required for mass production, making it applicable to actual manufacturing processes.

Authors

Institutions

Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762145
Citations
1
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Production-Oriented Design for High Parallel Test Efficiency

Jae-Hwan Shin, Young-Woo Lee
1 citations
VLSI and Analog Circuit Testing
0.49
article

Production-Oriented Design for High Parallel Test Efficiency

Jae-Hwan Shin, Young-Woo Lee
article en
1 citations

Abstract

As the importance and complexity of System-on-Chip (SoC) testing increase, research to enhance test efficiency is being conducted. Among these, research is ongoing to reduce the number of pins used in testing through internal test modules in the Device Interface Board (DIB) application area. However, the existing test modules were designed without considering the actual mass production environment, making them unsuitable for application in the actual chip fabrication process. In this paper, we propose a method that offers enhanced error detection capabilities and high parallelism, implementing additional functionalities required for mass production, making it applicable to actual manufacturing processes.

Inha University (KR)
Affordable and clean energy
Openalex Percentile: Top 34%
VLSI and Analog Circuit Testing
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.