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.
The computation nodes of modern supercomputers commonly consist of multiple multicore processors. To maximize the performance of such systems requires measurement, analysis, and optimization techniques that specifically target multicore environments. This paper first examines traditional unicore metrics and demonstrates how they can be misleading in a multicore system. Second, it examines and characterizes...
HPC systems are notorious for operating at a small fraction of their peak performance, and the ongoing migration to multi-core and multi-socket compute nodes further complicates performance optimization. The readily available performance evaluation tools require considerable effort to learn and utilize. Hence, most HPC application writers do not use them. As remedy, we have developed PerfExpert, a...
This paper describes a parallel, multistage optimization approach for enterprise system design and planning where the design of a system is linked with its planing and operations (resource allocation). Our approach is composed of two parts: a multistage formulation and a task-parallel algorithm. The formulation utilizes the quasi-separability of the multistage decision making structure, i.e., allowing...
This paper describes a parallel, multistage optimization approach to enterprise system design and operations where a system design is linked with system operations (e.g., resource allocation) along the multistage decision making horizon. Our approach is composed of two parts: multistage formulation, and task-parallel algorithm. The formulation utilizes the quasi-separability of the multistage decision...
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.