Scan Test Bandwidth Management for Ultralarge-Scale System-on-Chip Architectures

This paper presents several techniques employed to resolve problems surfacing when applying scan bandwidth management to large industrial multicore system-on-chip (SoC) designs with embedded test data compression. These designs pose significant challenges to the channel management scheme, flow, and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on very large scale integration (VLSI) systems 2015-06, Vol.23 (6), p.1050-1062
Hauptverfasser: Wu-Tung Cheng, Yan Dong, Gilles, Grady, Yu Huang, Janicki, Jakub, Kassab, Mark, Mrugalski, Grzegorz, Mukherjee, Nilanjan, Rajski, Janusz, Tyszer, Jerzy
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents several techniques employed to resolve problems surfacing when applying scan bandwidth management to large industrial multicore system-on-chip (SoC) designs with embedded test data compression. These designs pose significant challenges to the channel management scheme, flow, and tools. This paper introduces several test logic architectures that facilitate preemptive test scheduling for SoC circuits with embedded deterministic test-based test data compression. The same solutions allow efficient handling of physical constraints in realistic applications. Finally, state-of-the-art SoC test scheduling algorithms are rearchitected accordingly by making provisions for: 1) setting up time-effective test configurations; 2) optimization of SoC pin partitions; 3) allocation of core-level channels based on scan data volume; and 4) more flexible core-wise usage of automatic test equipment channel resources. A detailed case study is illustrated herein with a variety of experiments allowing one to learn how to tradeoff different architectures and test-related factors.
ISSN:1063-8210
1557-9999
DOI:10.1109/TVLSI.2014.2332469