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.
This paper addresses the use of Arithmetic Transforms (AT) and its extensions to express word-level quantities and sequential elements. Their applications cover equivalence checking and component matching. Compositional construction of an overall circuit becomes critical. In order to facilitate the compositions, novel algorithms are proposed to get high performance and experiments prove their efficiency.
We develop a new method to compute representations of imprecise datapaths for purpose of equivalence checking and component matching. From a Taylor series, we devise an efficient algorithm to produce arithmetic transform (AT) which is a function representation behind word-level decision diagrams such as BMDs. Also, we introduce an efficient algorithm for verifying the imprecise circuits.
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.