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Algorithms and Architectures for Parallel Processing

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Cover of 'Algorithms and Architectures for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 OTFX: An In-memory Event Tracing Extension to the Open Trace Format 2
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    Chapter 2 Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model
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    Chapter 3 Network-Aware Optimization of MPDATA on Homogeneous Multi-core Clusters with Heterogeneous Network
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    Chapter 4 Formalizing Data Locality in Task Parallel Applications
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    Chapter 5 Improving the Energy Efficiency of Evolutionary Multi-objective Algorithms
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    Chapter 6 A Parallel Model for Heterogeneous Cluster
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    Chapter 7 Comparative Analysis of OpenACC Compilers
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    Chapter 8 The Research of Recommendation System Based on User-Trust Mechanism and Matrix Decomposition
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    Chapter 9 Traffic Sign Recognition Based on Parameter-Free Detector and Multi-modal Representation
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    Chapter 10 Reversible Data Hiding Using Non-local Means Prediction
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    Chapter 11 Secure Data Access in Hadoop Using Elliptic Curve Cryptography
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    Chapter 12 Statistical Analysis of CCM.M-K1 International Comparison Based on Monte Carlo Method
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    Chapter 13 Redundancy Elimination in the ExaStencils Code Generator
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    Chapter 14 A Dataflow IR for Memory Efficient RIPL Compilation to FPGAs
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    Chapter 15 Exploring a Distributed Iterative Reconstructor Based on Split Bregman Using PETSc
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    Chapter 16 Implementation of the Beamformer Algorithm for the NVIDIA Jetson
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    Chapter 17 MARL-Ped+Hitmap: Towards Improving Agent-Based Simulations with Distributed Arrays
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    Chapter 18 Efficiency of GPUs for Relational Database Engine Processing
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    Chapter 19 Geocon: A Middleware for Location-Aware Ubiquitous Applications
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    Chapter 20 I/O-Focused Cost Model for the Exploitation of Public Cloud Resources in Data-Intensive Workflows
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    Chapter 21 Cellular ANTomata as Engines for Highly Parallel Pattern Processing
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    Chapter 22 Educational and Research Systems for Evaluating the Efficiency of Parallel Computations
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    Chapter 23 Generalized Approach to Scalability Analysis of Parallel Applications
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    Chapter 24 System Monitoring-Based Holistic Resource Utilization Analysis for Every User of a Large HPC Center
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    Chapter 25 Algorithms and Architectures for Parallel Processing
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    Chapter 26 Efficient Distributed Computations with DIRAC
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    Chapter 27 The Co-design of Astrophysical Code for Massively Parallel Supercomputers
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    Chapter 28 Hardware-Specific Selection the Most Fast-Running Software Components
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    Chapter 29 Automated Parallel Simulation of Heart Electrical Activity Using Finite Element Method
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    Chapter 30 Using hStreams Programming Library for Accelerating a Real-Life Application on Intel MIC
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Title
Algorithms and Architectures for Parallel Processing
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-49956-7
ISBNs
978-3-31-949955-0, 978-3-31-949956-7
Editors

Jesus Carretero, Javier Garcia-Blas, Victor Gergel, Vladimir Voevodin, Iosif Meyerov, Juan A. Rico-Gallego, Juan C. Díaz-Martín, Pedro Alonso, Juan Durillo, José Daniel Garcia Sánchez, Alexey L. Lastovetsky, Fabrizio Marozzo, Qin Liu, Zakirul Alam Bhuiyan, Karl Fürlinger, Josef Weidendorfer, José Gracia

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 2 25%
Professor > Associate Professor 1 13%
Researcher 1 13%
Unknown 2 25%
Readers by discipline Count As %
Engineering 4 50%
Social Sciences 1 13%
Computer Science 1 13%
Unknown 2 25%