The proceedings contain 17 papers. The special focus in this conference is on Artificial Life and Evolutionary Computation. The topics include: Scale-free networks out of multifractal chaos;GPU-based parallel search o...
ISBN:
(纸本)9783319577104
The proceedings contain 17 papers. The special focus in this conference is on Artificial Life and Evolutionary Computation. The topics include: Scale-free networks out of multifractal chaos;GPU-based parallel search of relevant variable sets in complex systems;complexity science for sustainable smart water grids;mapreduce in computational biology - a synopsis;benchmarking spark distributed data structures;automatic design of Boolean networks for cell differentiation;model-based lead molecule design;reducing dimensionality in molecular systems;constraint-based modeling and simulation of cell populations;linking alterations in metabolic fluxes with shifts in metabolite levels by means of kinetic modeling;mathematical modeling in systems biology;synchronization in near-membrane reaction models of protocells;on the employ of time series in the numerical treatment of differential equations modeling oscillatory phenomena and a program for the solution of chemical equilibria among multiple phases.
Simulating systems with evolving relational structures on massively parallel computers require the computational work to be evenly distributed across the processing resources throughout the simulation. Adaptive, unstr...
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The proceedings contain 60 papers. The topics discussed include: accumulation of new knowledge about the internal structure of an open star clusters on the basis of intensive use of data;short gamma-ray-transients in ...
The proceedings contain 60 papers. The topics discussed include: accumulation of new knowledge about the internal structure of an open star clusters on the basis of intensive use of data;short gamma-ray-transients in SPI/INTEGRAL: search, classification and interpretation;an approach to filtering prohibited content on the web;data curation policies for EUDAT collaborative data infrastructure;the model of recommender systems based on fuzzy logic as the extension of the collaborative filtering model;development of data-intensive services with Everest;an approach to data mining inside Postgre-SQL based on parallel implementation of UDFs;methodology for evaluating the functioning of distributed ESIMO data providers;simulation of data for determining the readiness of municipalities to implement smart city technologies;towards framework for discovery of export growth points;organizing a virtual experiment for the analysis of effective connectivity of human task functional magnetic resonance imaging;using news corpora for temporal summary formation;fractal methods in information technologies for processing, analyzing and classifying large flows of astronomical data;a domain-agnostic tool for scalable ontology population and enrichment from diverse linked data sources;on an approach to data integration: concept, formal foundations and data model;standardization of storage and retrieval of semi-structured thermophysical data in JSON-documents associated with the ontology;high-level formalization of problem domain for inorganic materials science information resources consolidation;application of ontology design patterns in the development of the ontologies of scientific subject domains;and ontological description of meteorological and climate data collections.
The proceedings contain 10 papers. The topics discussed include: parallel numerical methods for ordinary differential equations: a survey;post-processing the results of metastable states molecular dynamics simulation;...
The proceedings contain 10 papers. The topics discussed include: parallel numerical methods for ordinary differential equations: a survey;post-processing the results of metastable states molecular dynamics simulation;CPU and GPU parallel Kramers-Klein calculations;principles of computing resources planning in cloud-based problem solving environment;parallel left ventricle simulation using the FEniCS framework;parallel algorithms for solving linear systems with block-fivediagonal matrices on multi-core CPU;automatic launch and tracking the computational simulations with LiFlow and Sumatra;and research of student prospects on developing international PhD programs in software engineering.
This paper will describe the application of the PGAS Global Arrays (GA) library to power grid simulations. The GridPACK (TM) framework has been designed to enable power grid engineers to develop parallelsimulations o...
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ISBN:
(纸本)9781509052141
This paper will describe the application of the PGAS Global Arrays (GA) library to power grid simulations. The GridPACK (TM) framework has been designed to enable power grid engineers to develop parallelsimulations of the power grid by providing a set of templates and libraries that encapsulate most of the details of parallel programming in higher level abstractions. The communication portions of the framework are implemented using a combination of message-passing (MPI) and one-sided communication (GA). This paper will provide a brief overview of GA and describe in detail the implementation of collective hash tables, which are used in many power grid applications to match data with a previously distributed network.
The proceedings contain 67 papers. The topics discussed include: studying the effectiveness of graphics accelerators paralleling solutions of three-dimensional boundary value problems on quasistructured grids;numerica...
The proceedings contain 67 papers. The topics discussed include: studying the effectiveness of graphics accelerators paralleling solutions of three-dimensional boundary value problems on quasistructured grids;numerical hydrodynamics simulation of astrophysical flows at Intel xeon phi supercomputers;approximate algorithm for choosing the best subset of nodes in the Angara interconnect with failures;parallel realization of multiscale approach for calculating the gas flows in microchannels of technical systems;distributed visualization in application to the molecular dynamics simulation of equilibrium state in the gas-metal microsystems;numerical simulation of 3d unsteady free-surface flows: development and application of a specialized parallel code;spatially efficient tree layout for GPU ray-tracing of constructive solid geometry scenes;analysis of methods for solving inverse problems of chemical kinetics with the use of parallel computing;parallelization of calculation the kinetic model of selective hydrogenation of acetylene on a gold clusters;the development of the technology platform on the basis of a supercomputer to handle large flows of experimental data;and parallel algorithms for synthesizing and processing of 3d radio holographic images.
In this paper a software package for processing and visualization of the molecular dynamics simulation is presented. During the development process the performance issues of the Python programming language were studie...
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In this paper a software package for processing and visualization of the molecular dynamics simulation is presented. During the development process the performance issues of the Python programming language were studied, as well as the abilities to avoid them. It was also studied the problem of obtaining and processing distributed data stored on multiple computational nodes. An open-source package for scientific visualization Mayavi2 was chosen as a visualization tool. As a result of application this system to the data obtained from MD simulation of the gas and metal plate interaction we were able to observe in the details the effect of adsorption, which is important for many practical applications.
Rapid pace of innovation in industrial research labs requires fast algorithm evaluation cycles. The use of multi-core hardware and distributed clusters is essential to achieve reasonable turnaround times for high-load...
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Heart simulation is complex task that requires multiscale modeling on cell, tissue and organ levels. Such structure makes difficult high performance code development and its maintenance. In this paper, we evaluate how...
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Heart simulation is complex task that requires multiscale modeling on cell, tissue and organ levels. Such structure makes difficult high performance code development and its maintenance. In this paper, we evaluate how scientiffic software could be used for heart simulation. An overview of existing frameworks for automated scientiffic computing is presented. The FEniCS framework was chosen since it supports auto-mated solution of differential equations by the finite element method of parallel computing systems, provides near-mathematical notation, uses high performance backend and has comprehensive documentation. FEniCS performance was evaluated by simulation the space propaga-tion of membrane potential alternation over a cardiac left ventricle using the electrophysiological model of a left ventricle and the Ekaterinburg-Oxford cell model. The FEniCS framework showed good performance and near-linear scalability up to 240 CPU cores.
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