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Supercomputing: Second Russian Supercomputing Days, RuSCDays 2016, Moscow, Russia, September 26–27, 2016, Revised Selected Papers

✍ Scribed by Vladimir Voevodin, Sergey Sobolev (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
382
Series
Communications in Computer and Information Science 687
Edition
1
Category
Library

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✦ Synopsis


This book constitutes the refereed proceedings of the Second Russian Supercomputing Days, RuSCDays 2016, held in Moscow, Russia, in September 2016.

The 28 revised full papers presented were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on the present of supercomputing: large tasks solving experience; the future of supercomputing: new technologies.

✦ Table of Contents


Front Matter....Pages I-XV
Front Matter....Pages 1-1
Accelerating Assembly Operation in Element-by-Element FEM on Multicore Platforms....Pages 3-14
Block Lanczos–Montgomery Method with Reduced Data Exchanges....Pages 15-26
ChronosServer: Fast In Situ Processing of Large Multidimensional Arrays with Command Line Tools....Pages 27-40
Dynamics of Formation and Fine Structure of Flow Pattern Around Obstacles in Laboratory and Computational Experiment....Pages 41-56
EnOI-Based Data Assimilation Technology for Satellite Observations and ARGO Float Measurements in a High Resolution Global Ocean Model Using the CMF Platform....Pages 57-66
Experience of Direct Numerical Simulation of Turbulence on Supercomputers....Pages 67-77
GPU-Accelerated Molecular Dynamics: Energy Consumption and Performance....Pages 78-90
Implementation and Evaluation of the PO-HEFT Problem-Oriented Workflow Scheduling Algorithm for Cloud Environments....Pages 91-105
Layer-by-Layer Partitioning of Finite Element Meshes for Multicore Architectures....Pages 106-117
Multilevel Parallelization: Grid Methods for Solving Direct and Inverse Problems....Pages 118-131
Numerical Model of Shallow Water: The Use of NVIDIA CUDA Graphics Processors....Pages 132-145
Parallel Algorithm for Simulation of Fragmentation and Formation of Filamentous Structures in Molecular Clouds....Pages 146-157
Parallel Algorithms for a 3D Photochemical Model of Pollutant Transport in the Atmosphere....Pages 158-171
Parallel Computation of Normalized Legendre Polynomials Using Graphics Processors....Pages 172-184
Parallel Software for Simulation of Nonlinear Processes in Technical Microsystems....Pages 185-198
Performance of MD-Algorithms on Hybrid Systems-on-Chip Nvidia Tegra K1 & X1....Pages 199-211
Revised Pursuit Algorithm for Solving Non-stationary Linear Programming Problems on Modern Computing Clusters with Manycore Accelerators....Pages 212-223
Solving Multidimensional Global Optimization Problems Using Graphics Accelerators....Pages 224-235
Supercomputer Simulation of Physicochemical Processes in Solid Fuel Ramjet Design Components for Hypersonic Flying Vehicle....Pages 236-248
Front Matter....Pages 249-249
Addition for Supercomputer Functionality....Pages 251-263
Front Matter....Pages 249-249
Analysis of Processes Communication Structure for Better Mapping of Parallel Applications....Pages 264-278
Experimental Comparison of Performance and Fault Tolerance of Software Packages Pyramid, X-COM, and BOINC....Pages 279-290
Internet-Oriented Educational Course β€œIntroduction to Parallel Computing”: A Simple Way to Start....Pages 291-303
Parallel Computational Models to Estimate an Actual Speedup of Analyzed Algorithm....Pages 304-317
Techniques for Solving Large-Scale Graph Problems on Heterogeneous Platforms....Pages 318-332
The Elbrus Platform Feasibility Assessment for High-Performance Computations....Pages 333-344
Using Machine Learning Methods to Detect Applications with Abnormal Efficiency....Pages 345-355
Using Simulation for Performance Analysis and Visualization of Parallel Branch-and-Bound Methods....Pages 356-368
Back Matter....Pages 369-370

✦ Subjects


Simulation and Modeling;Programming Techniques;Math Applications in Computer Science;Computer Hardware;Numeric Computing;Algorithm Analysis and Problem Complexity


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