Modern materials science is based in principle on the fundamental experience that the properties of materials are not peremptorily determined by their average chemical composition but they are to a large extent influe...
详细信息
Modern materials science is based in principle on the fundamental experience that the properties of materials are not peremptorily determined by their average chemical composition but they are to a large extent influenced by the distances between atoms and characteristics of their bonds, implicitly by their microstructure. Now, it is obvious that the outstanding success of magnetic materials for the last two decades may be ascribed to three relevant accomplishments: -overall improvements in general expertise and techniques in sample synthesis;- A dramatic refinement and development of new methods and probes for magnetic materials characterization;-the increasing importance of nano-level studies that led to the ingenious ways of producing nanoparticle samples, new techniques for element specific studies, goin down to atomic resolution studies and even to single atoms at surfaces and interfaces. In the last projects completed in recent years we have analyzed and studied magnetic materials mostly micro and nano scale ferro-, ferrimagnetic and ferroic perovskites, enumerating here (nano)cobaltites, (nano)manganites and other nanomagnetic materials. Almost all of them, listed up require massive data processing. At that time, it became obvious to us that it needs another embodiment, namely in the processing data activity. In 2010 we introduce parallel computing applications on the simulation of the structure, magnetic and transport properties to explain the structure-properties relationships for some new nanomagnetic materials. Knowing quite substantial intersection of the parallel computing and distributed, we think it is of common sense to introduce our applicative work in magnetism and magnetic materials science modeling properties, in the context of distributed computing applications. Our latest research specializes in improving techniques for high-level simulation in the design of nano-materials with controlled magnetic properties. We used a package built on Linux, c
At the Laboratory of Information Technologies of the Joint Institute for Nuclear Research new software for job parallel calculation on the cloud resources and computing cluster is in progress. It is expected that crea...
详细信息
The proceedings contain 14 papers. The special focus in this conference is on Brain-Inspired Computing. The topics include: Human brainnetome atlas and its potential applications in brain-inspired computing;workflows ...
ISBN:
(纸本)9783319508610
The proceedings contain 14 papers. The special focus in this conference is on Brain-Inspired Computing. The topics include: Human brainnetome atlas and its potential applications in brain-inspired computing;workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers;including gap junctions into distributed neuronal network simulations;finite-difference time-domain simulation for three-dimensional polarized light imaging;visual processing in cortical architecture from neuroscience to neuromorphic computing;bio-inspired filters for audio analysis;sophisticated LVQ classification models - beyond accuracy optimization;classification of FDG-PET brain data by generalized matrix relevance LVQ;a cephalomorph real-time computer;towards the ultimate display for neuroscientific data analysis;sentiment analysis and affective computing;methods and applications and deep representations for collaborative robotics.
The present work is devoted to the construction of low-level models of city traffic based on extended Petri nets. The relevance of the proposed approach to the modeling of urban traffic movement in particular is deter...
详细信息
In this paper, we present the ParaLab teachware system, which can be used for learning the parallel computation methods. Par- aLab provides the tools for simulating the multiprocessor computational systems with variou...
详细信息
In this paper, we present the ParaLab teachware system, which can be used for learning the parallel computation methods. Par- aLab provides the tools for simulating the multiprocessor computational systems with various network topologies, for carrying out the computational experiments in the simulation mode, and for evaluating the efficiency of the parallel computation methods. The visual presentation of the parallel computations taking place in the computational experiments is the key feature of the system. ParaLab can be used for the laboratory training within various teaching courses in the field of parallel, distributed, and supercomputer computations.
The paper is devoted to extending of the mathematical model of database multiprocessor DMM [Kostenetskii P.S., Sokolinsky L.B. simulation of Hierarchical Multiprocessor Database Systems // Programming and Computer Sof...
详细信息
A mathematical model, numerical algorithm and program code for simulation and long-term forecasting of changes in permafrost as a result of operation of a multiple well pad of northern oil and gas field are presented....
详细信息
A mathematical model, numerical algorithm and program code for simulation and long-term forecasting of changes in permafrost as a result of operation of a multiple well pad of northern oil and gas field are presented. In the model the most significant climatic and phys- ical factors are taken into account such as solar radiation, determined by specific geographical location, heterogeneous structure of frozen soil, thermal stabilization of soil, possible insulation of the objects, seasonal uctuations in air temperature, and freezing and thawing of the upper soil layer. A parallel algorithm of decomposition with splitting by spatial variables is presented.
This article presents the architecture of software, which is a distributed computing system to hydrodynamic modeling of oil and gas field. The simulation is based on an iterative algorithm of parallel conjugation of s...
详细信息
The proceedings contain 26 papers. The topics discussed include: response time schedulability analysis for hard real-time systems accounting DVFS latency on heterogeneous cluster-based platform;calculation of worst-ca...
ISBN:
(纸本)9781467394192
The proceedings contain 26 papers. The topics discussed include: response time schedulability analysis for hard real-time systems accounting DVFS latency on heterogeneous cluster-based platform;calculation of worst-case execution time for multicore processors using deterministic execution;a n unconventional computing technique for ultra- fast and ultra-low power data mining;dedicated network for distributed configuration in a mixed-signal wireless sensor node circuit;energy management via PI control for data parallel applications with throughput constraints;dynamic current reduction of CMOS digital circuits through design and process optimization;unified power format (UPF) methodology in a vendor independent flow;a synchronous sub-threshold ultra-low power processor;and constructing stability-based clock gating with hierarchical clustering.
The programming language Python is widely used to create rapidly compact software. However, compared to low-level programming languages like C or Fortran low performance is preventing its use for HPC applications. Eff...
详细信息
暂无评论