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Parallel Computing Technologies

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Cover of 'Parallel Computing Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Strassen’s Communication-Avoiding Parallel Matrix Multiplication Algorithm for All-Port 2D Torus Networks
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    Chapter 2 Timed Resource Driven Automata Nets for Distributed Real-Time Systems Modelling
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    Chapter 3 Parallelization Properties of Preconditioners for the Conjugate Gradient Methods
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    Chapter 4 Transitive Closure of a Union of Dependence Relations for Parameterized Perfectly-Nested Loops
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    Chapter 5 Cliff-Edge Consensus: Agreeing on the Precipice
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    Chapter 6 Hybrid Multi-GPU Solver Based on Schur Complement Method
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    Chapter 7 Formal Verification of Programs in the Pifagor Language
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    Chapter 8 Characterization and Understanding Machine-Specific Interconnects
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    Chapter 9 Multi-core Implementation of Decomposition-Based Packet Classification Algorithms
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    Chapter 10 Slot Selection Algorithms in Distributed Computing with Non-dedicated and Heterogeneous Resources
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    Chapter 11 Determination of Dependence of Performance from Specifications of Separate Components of the Hybrid Personal Computing System Based on GPU-Processors
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    Chapter 12 Design of Distributed Parallel Computing Using by MapReduce/MPI Technology
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    Chapter 13 PowerVisor: A Toolset for Visualizing Energy Consumption and Heat Dissipation Processes in Modern Processor Architectures
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    Chapter 14 SVM Regression Parameters Optimization Using Parallel Global Search Algorithm
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    Chapter 15 Secure and Unfailing Services
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    Chapter 16 FuPerMod: A Framework for Optimal Data Partitioning for Parallel Scientific Applications on Dedicated Heterogeneous HPC Platforms
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    Chapter 17 DISBench: Benchmark for Memory Performance Evaluation of Multicore Multiprocessors
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    Chapter 18 Parallel Computing Technologies
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    Chapter 19 Development of Basic Approach and Software Package for Effective Parallel Computing of Continuum Mechanics Problems on Hybrid Architecture Systems
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    Chapter 20 On-Line Parallelizable Task Scheduling on Parallel Processors
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    Chapter 21 Organizing of Parallel Processing User-Friendly Dataflow-Oriented Environment for User Tasks Execution on Cluster
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    Chapter 22 SeloGPU: A Selective Off-Loading Framework for High Performance GPGPU Execution
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    Chapter 23 Efficient Domain Decomposition of Dissipative Particle Dynamics via Choice of Pseudorandom Number Generator
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    Chapter 24 SkelCL: Enhancing OpenCL for High-Level Programming of Multi-GPU Systems
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    Chapter 25 Cellular Automata Model of Some Organisms Population in Lake Baikal
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    Chapter 26 3-D Cellular Automata Model of Fluid Permeation through Porous Material
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    Chapter 27 Temporal-Impulse Description of Complex Images Based on Cellular Automata
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    Chapter 28 3D Heart Modeling with Cellular Automata, Mass-Spring System and CUDA
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    Chapter 29 Towards the Introduction of Parallelism in the MakkSim Pedestrian Simulator
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    Chapter 30 CA Agents for All-to-All Communication Are Faster in the Triangulate Grid
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    Chapter 31 Parallel Implementation of Totalistic Cellular Automata Model of Stable Patterns Formation
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    Chapter 32 cupSODA: A CUDA-Powered Simulator of Mass-Action Kinetics
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    Chapter 33 Reconstructing Images with Nature Inspired Algorithms
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    Chapter 34 Analysis and Application of the Pedestrian Permeation through the Crowd via Cellular Automata
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    Chapter 35 An Isotropic Optimum-Time FSSP Algorithm for Two-Dimensional Cellular Automata
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    Chapter 36 MathCloud: Publication and Reuse of Scientific Applications as RESTful Web Services
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    Chapter 37 Enhanced Differential Evolution Entirely Parallel Method for Biomedical Applications
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    Chapter 38 TCP TIPS: TCP Variant with Proactive Congestion Avoidance
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    Chapter 39 The Unified Algorithmic Platform for Solving Complex Problems of Computational Geometry
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    Chapter 40 Rigid Body Molecular Dynamics within the Domain Decomposition Framework of DL_POLY_4
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    Chapter 41 OPTNOC: An Optimized 3D Network-on-Chip Design for Fast Memory Access
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Title
Parallel Computing Technologies
Published by
Springer Berlin Heidelberg, September 2013
DOI 10.1007/978-3-642-39958-9
ISBNs
978-3-64-239957-2, 978-3-64-239958-9
Editors

Malyshkin, Victor

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%