On the development of Software-Based Self-Test methods for VLIW processors

Sabena, Davide; Reorda, M. Sonza; Sterpone, Luca

doi:10.1109/dft.2012.6378194

Cited by 7 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some have focused on the development of SBST techniques for certain types of processors such as DSPs, VLIW Processors, GPUs and Microcontrollers [14][15][16][17][18]. Some other researchers have tried to invent new methods for functional testing of certain modules in complex processors [19,20].…”

Section: Introductionmentioning

confidence: 99%

HASTI: hardware‐assisted functional testing of embedded processors in idle times

Kamran

2019

IET Computers & Digital Techniques

View full text Add to dashboard Cite

In the past decades, software-based self-testing (SBST) which is testing of a processing core using its native instructions has attracted much attention. However, efficient SBST of a processing core which is deeply embedded in a multicore architecture is still an open issue. In this study, inspiring from built-in self-test methods, the authors place several number of hardware test components next to the processing cores in order to overcome existing SBST challenges. These test components facilitate quick testing of embedded cores by providing several mechanisms such as virtual fetch, virtual jump, fake load & store, and segmented test application. In order to enable segmented test application, they propose the concept of test snippet and a test snippet generation approach. The result is the capability of testing embedded cores in short idle times leading to efficient online testing of the cores with zero performance overhead. The authors' results show that their test snippet generation approach not only leads to the production of test snippets which are properly fitted the proposed test architecture but also its final fault coverage is comparable and even a little better than the fault coverage of the best existing methods.

show abstract