The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Large test data volume and high test power consumption are two major concerns for the industry when testing large integrated circuits. Linear decompress or-based compression (LDC) is efficient in reducing test data volume, while X-filling during ATPG can efficiently reduce test power with low overhead. However, traditional X-filling methods cannot be reused in the LDC environment. In this paper, we...
Scan shift power can be reduced by activating only a subset of scan cells in each shift cycle. In contrast to shift power reduction, the use of only a subset of scan cells to capture responses in a cycle may cause capture violations, thereby leading to fault coverage loss. In order to restore the original fault coverage, new test patterns must be generated, leading to higher test-data volume. In this...
Testing for small-delay defects requires fault-effect propagation along the longest testable paths. However, the selection of the longest testable paths requires high CPU time and leads to large pattern counts. Dynamic test compaction for small-delay defects has remained largely unexplored thus far. We propose a path-selection scheme to accelerate ATPG based on stored testable critical-path information...
The small delay defects testing has two challenges. One is that the longest testable path selection for every target fault in ATPG consumes much CPU time. The other is the test data volume are very large. In this paper, we propose two strategies to resolve these two problems. A new path selection in advance scheme is proposed to accelerate ATPG. It aims to find fewer paths and cover more faults in...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.