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Parallel Processing and Applied Mathematics

Overview of attention for book
Cover of 'Parallel Processing and Applied Mathematics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Algebra and Geometry Combined Explains How the Mind Does Math
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    Chapter 2 Exploiting Data Sparsity in Parallel Matrix Powers Computations
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    Chapter 3 Performance of Dense Eigensolvers on BlueGene/Q
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    Chapter 4 Experiences with a Lanczos Eigensolver in High-Precision Arithmetic
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    Chapter 5 Adaptive Load Balancing for Massively Parallel Multi-Level Monte Carlo Solvers
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    Chapter 6 Parallel One–Sided Jacobi SVD Algorithm with Variable Blocking Factor
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    Chapter 7 An Identity Parareal Method for Temporal Parallel Computations
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    Chapter 8 Improving Perfect Parallelism
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    Chapter 9 Methods for High-Throughput Computation of Elementary Functions
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    Chapter 10 Engineering Nonlinear Pseudorandom Number Generators
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    Chapter 11 Extending the Generalized Fermat Prime Number Search Beyond One Million Digits Using GPUs
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    Chapter 12 Iterative Solution of Singular Systems with Applications
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    Chapter 13 Statistical Estimates for the Conditioning of Linear Least Squares Problems
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    Chapter 14 Numerical Treatment of a Cross-Diffusion Model of Biofilm Exposure to Antimicrobials
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    Chapter 15 Performance Analysis for Stencil-Based 3D MPDATA Algorithm on GPU Architecture
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    Chapter 16 Elliptic Solver Performance Evaluation on Modern Hardware Architectures
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    Chapter 17 Parallel Geometric Multigrid Preconditioner for 3D FEM in NuscaS Software Package
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    Chapter 18 Scalable Parallel Generation of Very Large Sparse Benchmark Matrices
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    Chapter 19 Co-operation Schemes for the Parallel Memetic Algorithm
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    Chapter 20 Scalable and Efficient Parallel Selection
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    Chapter 21 Optimal Diffusion for Load Balancing in Heterogeneous Networks
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    Chapter 22 Parallel Bounded Model Checking of Security Protocols
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    Chapter 23 Development of Domain-Specific Solutions Within the Polish Infrastructure for Advanced Scientific Research
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    Chapter 24 Cost Optimization of Execution of Multi-level Deadline-Constrained Scientific Workflows on Clouds
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    Chapter 25 Parallel Computations in the Volunteer–Based Comcute System
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    Chapter 26 Secure Storage and Processing of Confidential Data on Public Clouds
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    Chapter 27 Efficient Service Delivery in Complex Heterogeneous and Distributed Environment
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    Chapter 28 Domain-Driven Visual Query Formulation over RDF Data Sets
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    Chapter 29 Distributed Program Execution Control Based on Application Global States Monitoring in PEGASUS DA Framework
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    Chapter 30 New Scalable SIMD-Based Ray Caster Implementation for Virtual Machining
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    Chapter 31 Parallelization of Permuting XML Compressors
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    Chapter 32 Parallel Processing Model for Syntactic Pattern Recognition-Based Electrical Load Forecast
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    Chapter 33 Parallel Event–Driven Simulation Based on Application Global State Monitoring
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    Chapter 34 It’s Not a Bug, It’s a Feature: Wait-Free Asynchronous Cellular Genetic Algorithm
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    Chapter 35 Genetic Programming in Automatic Discovery of Relationships in Computer System Monitoring Data
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    Chapter 36 Genetic Algorithms Execution Control Under a Global Application State Monitoring Infrastructure
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    Chapter 37 Evolutionary Algorithms for Abstract Planning
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    Chapter 38 Solution of the Inverse Continuous Casting Problem with the Aid of Modified Harmony Search Algorithm
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    Chapter 39 Influence of a Topology of a Spring Network on its Ability to Learn Mechanical Behaviour
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    Chapter 40 Comparing Images Based on Histograms of Local Interest Points
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    Chapter 41 Improved Digital Image Segmentation Based on Stereo Vision and Mean Shift Algorithm
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    Chapter 42 Evaluation of Autoparallelization Toolkits for Commodity GPUs
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    Chapter 43 Real-Time Multiview Human Body Tracking Using GPU-Accelerated PSO
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    Chapter 44 Implementation of a Heterogeneous Image Reconstruction System for Clinical Magnetic Resonance
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    Chapter 45 X-Ray Laser Imaging of Biomolecules Using Multiple GPUs
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    Chapter 46 Out-of-Core Solution of Eigenproblems for Macromolecular Simulations
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    Chapter 47 Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation
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    Chapter 48 PDNOC: An Efficient Partially Diagonal Network-on-Chip Design
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    Chapter 49 Adaptive Fork-Heuristics for Software Thread-Level Speculation
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    Chapter 50 Inexact Sparse Matrix Vector Multiplication in Krylov Subspace Methods: An Application-Oriented Reduction Method
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    Chapter 51 The Regular Expression Matching Algorithm for the Energy Efficient Reconfigurable SoC
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    Chapter 52 Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi
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    Chapter 53 Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi
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    Chapter 54 Using Intel Xeon Phi Coprocessor to Accelerate Computations in MPDATA Algorithm
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    Chapter 55 Accelerating a Massively Parallel Numerical Simulation in Electromagnetism Using a Cluster of GPUs
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    Chapter 56 Multidimensional Monte Carlo Integration on Clusters with Hybrid GPU-Accelerated Nodes
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    Chapter 57 Efficient Execution of Erasure Codes on AMD APU Architecture
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    Chapter 58 AVX Acceleration of DD Arithmetic Between a Sparse Matrix and Vector
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    Chapter 59 Using Quadruple Precision Arithmetic to Accelerate Krylov Subspace Methods on GPUs
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    Chapter 60 Effectiveness of Sparse Data Structure for Double-Double and Quad-Double Arithmetics
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    Chapter 61 Efficient Heuristic Adaptive Quadrature on GPUs: Design and Evaluation
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    Chapter 62 An Efficient Representation on GPU for Transition Rate Matrices for Markov Chains
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    Chapter 63 Eigen-G: GPU-Based Eigenvalue Solver for Real-Symmetric Dense Matrices
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    Chapter 64 A square block format for symmetric band matrices
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    Chapter 65 Transparent Application Acceleration by Intelligent Scheduling of Shared Library Calls on Heterogeneous Systems
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    Chapter 66 A Study on Adaptive Algorithms for Numerical Quadrature on Heterogeneous GPU and Multicore Based Systems
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    Chapter 67 Improving Parallel I/O Performance Using Multithreaded Two-Phase I/O with Processor Affinity Management
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    Chapter 68 Storage Management Systems for Organizationally Distributed Environments PLGrid PLUS Case Study
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    Chapter 69 The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes
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    Chapter 70 Monitoring Performance and Power for Application Characterization with the Cache-Aware Roofline Model
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    Chapter 71 Energy and Deadline Constrained Robust Stochastic Static Resource Allocation
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    Chapter 72 Performance and Energy Analysis of the Iterative Solution of Sparse Linear Systems on Multicore and Manycore Architectures
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    Chapter 73 Measuring the Sensitivity of Graph Metrics to Missing Data
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    Chapter 74 The Energy/Frequency Convexity Rule: Modeling and Experimental Validation on Mobile Devices
Attention for Chapter 69: The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 patent
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1 Facebook page

Citations

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4 Mendeley
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Chapter title
The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes
Chapter number 69
Book title
Parallel Processing and Applied Mathematics
Published in
Lecture notes in computer science, September 2013
DOI 10.1007/978-3-642-55224-3_69
Book ISBNs
978-3-64-255223-6, 978-3-64-255224-3
Authors

Giuliano Laccetti, Raffaele Montella, Carlo Palmieri, Valentina Pelliccia, Laccetti, Giuliano, Montella, Raffaele, Palmieri, Carlo, Pelliccia, Valentina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Engineering 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2023.
All research outputs
#8,118,118
of 25,059,640 outputs
Outputs from Lecture notes in computer science
#2,449
of 8,153 outputs
Outputs of similar age
#66,665
of 204,268 outputs
Outputs of similar age from Lecture notes in computer science
#41
of 145 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 204,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.