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.
Scientific applications from many problem domains produce and/or access large volumes of data. To support these applications, designers of high-end computing (HEC) systems have greatly increased the capacity of storage systems in recent years. However, because hard disk drives (HDDs) are still the dominant storage device used in HEC storage systems, and because HDD performance has not improved as...
Many high-end computing applications in critical areas of science and technology are becoming more and more data intensive. These applications transfer large amounts of data from storage nodes to compute nodes for processing, which is costly and bandwidth consuming. The data movement often dominates the applications' run time. Active storage provides a promising solution for these applications by...
Shared-nothing and shared-disk are the two most common storage architectures of parallel databases in the past two decades. Both two types of systems have their own merits for different applications. However, there are no much efforts in investigating the integration of these two architectures and exploiting their merits together. In this paper, we propose a novel hybrid storage architecture for large-scale...
Data prefetching can be beneficial for improving parallel I/O system performance, but the amount of benefit depends on how efficiently and swiftly prefetches can be done. In this study, we propose a new prefetching strategy, called collective prefetching. The idea is to exploit the correlation among I/O accesses of multiple processes of a parallel application and carry out prefetches collectively,...
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.