Kumar, Binod and Jindal, Ankit and Tudu, Jaynarayan and Pandey, Brajesh and Singh, Virendra (2017) Revisiting Random Access Scan for Effective hnhancement of Post-silicon Observability. In: 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), JUL 03-05, 2017, Thessaloniki, GREECE, pp. 132-137.
![]() |
PDF
Int_Sys_On-Lin_Tes_Rob_Sys_des_132_2017.pdf - Published Version Restricted to Registered users only Download (215kB) | Request a copy |
Abstract
Due to tremendous growth in complexity of modern designs, bugs inevitably escape the pre-silicon verification stage. This has led to considerable increase in the time and effort dedicated to post-silicon validation. Debugging designs at post silicon stage faces a severe bottleneck of limited observability of the internal states. This paper presents a methodology for post-silicon debug utilizing the special features of progressive random access scan (PRAS). The l'RAS offers a read-out of non-destructive scan values which is the bottleneck in the process of debugging. The proposed methodology avoids the large overhead of additional resources for debugging as the Der architecture is reused. PRAS provides a simultaneous solution to the problems of power, data volume and application time during testing at the cost of routing overhead. The PRAS based proposed architecture offers visibility of internal states in fewer clock cycles than traditional serial scan chain based debug methods. The proposed debug scheme offers reconfigurability which enables selective visibility of internal states of a certain portion of the design. Experimental results indicate the better performance of the proposed methodology as compared to the state restoration based observability enhancement techniques.
Item Type: | Conference Proceedings |
---|---|
Publisher: | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Additional Information: | Copy right for the article belong toIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
Date Deposited: | 04 Apr 2018 18:50 |
Last Modified: | 04 Apr 2018 18:50 |
URI: | http://eprints.iisc.ac.in/id/eprint/59483 |
Actions (login required)
![]() |
View Item |