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.
Approximate Computing is frequently mentioned as a new computing paradigm that enables improving energy efficiency at the expense of quality. But what is Approximate Computing? How can it be used in a truly innovative way that goes beyond reducing precision or approximating complex operations or algorithms at the expense of accuracy as it is already done regularly in the VLSI signal processing community...
With scaling of process technologies and worsening of process variations, embedded memories are susceptible to a large number of failure mechanisms making it hard to achieve high yield. In this paper, by bringing together architecture and circuit-level exploration tools, we analyse the impact of process variations on static random access memory (SRAM) cell stability and determine the impact of SRAM...