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.
At present, high-performance computations are in general use: in the government sector, defense sphere, large-scale concerns and enterprises, commercial entities, etc. From year-to-year, increasing sums are invested in supercomputers and software to rapidly answer any challenges in some field. In general, present-day high-performance computing systems are based on the von Neumann computation model...
This article describes approaches to building a set of nodes and blocks that are sufficient to create the matching processor for the parallel dataflow computing system. Investigations of various sets of nodes and blocks of the matching processor have been carried out. As a result, some regularities were revealed characteristic for hardware-software solutions that implement the dataflow computing model...
The article provides an overview of the main directions of the development of architectures of content addressable memory and associative processors. The main problems that are facing the developers of these devices are identified. The description of the content addressable memory of keys in the matching processor, which is the main computation process control device in the parallel dataflow computing...
In order to improve the efficiency of the sparse matrices multiplication task on a traditional cluster supercomputer, it is necessary to take into account different levels of parallelism when programming. To work around these problems the dataflow computing model with the dynamically formed context and the architecture of the parallel dataflow computing system can be used. The article describes the...
The problems of parallelizing computations and increasing real performance are among the main ones for high-performance computing systems. The article describes a new dataflow computing model and architecture, which allow addressing these problems. Methods for solving other problems of classical dataflow systems and traditional cluster supercomputers by the parallel dataflow computing system are also...
The paper presents the development tools for parallel dataflow computing systems that use associative environment for computing process organization. Such tools are organized as the Software complex for dataflow systems development. They allow to assess the operating efficiency of various associative environment implementation variants. They also allow to evaluate the execution efficiency of tasks...
The paper presents the main differences of the new computing model and the system that implements this model from traditional dataflow systems. The parallel dataflow computing system architecture and I/O processor are briefly described. I/O processor is one of the main management elements of computing process in the system. Functionality of the token-generating unit and various input-output modes...
This paper outlines the architecture of parallel dataflow computing system and its general parameters, which could be modified to improve the operating efficiency of the system for one or another class of problems. Distribution functions allow to improve operating efficiency of the system due to scalability improvement of the task (paralleling on a greater number of computational cores). Other adaptation...
Molecular dynamics (MD) task scales poorly due to the global barriers used to maintain neighbour lists. The paper presents the asynchronous algorithm for MD task simulation free from this drawback. The experiments with MD on various models of parallel dataflow computing system (PDCS) “Buran ” also presented. Synchronization in this algorithm relies solely on the local interactions between the cores...
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.