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 supporting high-performance data processing, performance gap between the computation device and storage prevents the full utilization of the computation resource and causes a system bottleneck. In addition, some big-data applications which require interactive, real-time, and complicated computation need faster data I/O than distributed file systems. So we propose a new cache backend facility called...
Huge requests for file transmission by concurrent users cause excessive memory copy operations and system calls between kernel and user space, which are very expensive and require many CPU cycles for processing. And it has been a bottleneck that limits the number of serviceable requests and prevents CPU resources from being allocated to other processes. In this paper, we suppose the zero-copy data...
As a platform for cloud services and high performance computing, cluster systems are primarily used. As the scale of the cluster system is increasing more and more and the use of heterogeneous nodes equipped with various hardware is increased, it is becoming more difficult and exhausting in time and cost to manage a cluster system in a conventional manner. In this paper, we design self-provisioning...
This article is concerned chiefly with a software integration architecture for providing a large-capacity collective memory layer on a multi-node system by using a remote direct memory access technique and a software virtualization technique. Major components described by the architecture include a memory region management module, a large-capacity collective memory service module, and a data cooperative...
Due to the development of NGS technologies and the reduction of analysis cost, it is possible to perform population-scale human genome analysis. Also, large amount of genome data have been exploded recently. It is required for introduction parallel processing using High Performance Computing systems to analyse and handle these large data through genome analysis pipeline. In this paper, we propose...
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.