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.
In production multi-user high-performance (HPC) batch computing environments, wait times for scheduled jobs are highly dynamic. For scientific users, the primary measure of efficiency is wall clock time-to-solution. In high throughput applications, such as many kinds of biological analysis, the computational work to be done can be flexibly scheduled taking a longer time on a small number of processors...
Large computing systems including clusters, clouds, and grids, provide high-performance capabilities that can be utilized for scientific applications. As the ubiquity of these systems increases and the scope of analysis performed on them expand, there is a growing need for applications that do not require users to learn the details of high-performance computing, and are flexible and adaptive to accommodate...
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.