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Parallel Processing and Applied Mathematics

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Exploring Memory Error Vulnerability for Parallel Programming Models
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    Chapter 2 An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model
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    Chapter 3 Sparse Matrix Multiplication on Dataflow Engines
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    Chapter 4 Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms
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    Chapter 5 A Bucket Sort Algorithm for the Particle-In-Cell Method on Manycore Architectures
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    Chapter 6 Experience on Vectorizing Lattice Boltzmann Kernels for Multi- and Many-Core Architectures
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    Chapter 7 Performance Analysis of the Kahan-Enhanced Scalar Product on Current Multicore Processors
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    Chapter 8 Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer
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    Chapter 9 Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures
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    Chapter 10 A Parallel Multi-threaded Solver for Symmetric Positive Definite Bordered-Band Linear Systems
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    Chapter 11 Parallel Algorithm for Quasi-Band Matrix-Matrix Multiplication
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    Chapter 12 Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures
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    Chapter 13 LU Preconditioning for Overdetermined Sparse Least Squares Problems
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    Chapter 14 Experimental Optimization of Parallel 3D Overlapping Domain Decomposition Schemes
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    Chapter 15 Parallel Implementation of the FETI DDM Constraint Matrix on Top of PETSc for the PermonFLLOP Package
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    Chapter 16 Accelerating Sparse Arithmetic in the Context of Newton’s Method for Small Molecules with Bond Constraints
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    Chapter 17 Massively Parallel Approach to Sensitivity Analysis on HPC Architectures by Using Scalarm Platform
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    Chapter 18 GPU Implementation of Krylov Solvers for Block-Tridiagonal Eigenvalue Problems
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    Chapter 19 Comparison of Large Graphs Using Distance Information
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    Chapter 20 Fast Incremental Community Detection on Dynamic Graphs
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    Chapter 21 A Diffusion Process for Graph Partitioning: Its Solutions and Their Improvement
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    Chapter 22 A Parallel Algorithm for LZW Decompression, with GPU Implementation
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    Chapter 23 Parallel FDFM Approach for Computing GCDs Using the FPGA
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    Chapter 24 Parallel Induction of Nondeterministic Finite Automata
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    Chapter 25 Parallel BSO Algorithm for Association Rules Mining Using Master/Worker Paradigm
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    Chapter 26 Distributed Computing Instrastructure as a Tool for e-Science
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    Chapter 27 A Lightweight Approach for Deployment of Scientific Workflows in Cloud Infrastructures
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    Chapter 28 Distributed Execution of Dynamically Defined Tasks on Microsoft Azure
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    Chapter 29 Scalable Distributed Two-Layer Block Based Datastore
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    Chapter 30 Metadata Organization and Management for Globalization of Data Access with Onedata
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    Chapter 31 Hypergraph Based Abstraction for File-Less Data Management
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    Chapter 32 Using Akka Actors for Managing Iterations in Multiscale Applications
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    Chapter 33 Synthetic Signature Program for Performance Scalability
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    Chapter 34 FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics
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    Chapter 35 Accelerating NWChem Coupled Cluster Through Dataflow-Based Execution
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    Chapter 36 Parallelization and Optimization of a CAD Model Processing Tool from the Automotive Industry to Distributed Memory Parallel Computers
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    Chapter 37 GPU Accelerated Simulations of Magnetic Resonance Imaging of Vascular Structures
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    Chapter 38 Parallel Algorithms for Wireless LAN Planning
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    Chapter 39 Toward Parallel Modeling of Solidification Based on the Generalized Finite Difference Method Using Intel Xeon Phi
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    Chapter 40 Optimized Parallel Model of Human Detection Based on the Multi-Scale Covariance Descriptor
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    Chapter 41 Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing
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    Chapter 42 Parallel Differential Evolution in the PGAS Programming Model Implemented with PCJ Java Library
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    Chapter 43 Adaptation of Deep Belief Networks to Modern Multicore Architectures
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    Chapter 44 Implementing Deep Learning Algorithms on Graphics Processor Units
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    Chapter 45 Fuzzy Transducers as a Tool for Translating Noisy Data in Electrical Load Forecast System
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    Chapter 46 Towards a Scalable Distributed Fitness Evaluation Service
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    Chapter 47 Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators
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    Chapter 48 Increasing Arithmetic Intensity in Multigrid Methods on GPUs Using Block Smoothers
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    Chapter 49 Optimized CUDA-Based PDE Solver for Reaction Diffusion Systems on Arbitrary Surfaces
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    Chapter 50 Comparing Different Programming Approaches for SpMV-Operations on GPUs
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    Chapter 51 IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU
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    Chapter 52 Massively Parallel Construction of the Cell Graph
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    Chapter 53 Benchmarking the Cost of Thread Divergence in CUDA
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    Chapter 54 Fast Algorithm for the Fourth-Order Elliptic Problem Based on Orthogonal Matrix Decomposition
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    Chapter 55 Performance of the Parallel One-Sided Block Jacobi SVD Algorithm on a Modern Distributed-Memory Parallel Computer
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    Chapter 56 New Approach to Local Computations in the Parallel One–Sided Jacobi SVD Algorithm
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Parallel Processing and Applied Mathematics
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-32149-3
ISBNs
978-3-31-932148-6, 978-3-31-932149-3
Editors

Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski, Jacek Kitowski, Kazimierz Wiatr

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 5 20%
Other 3 12%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 4 16%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 10 40%
Engineering 3 12%
Mathematics 2 8%
Physics and Astronomy 2 8%
Medicine and Dentistry 1 4%
Other 2 8%
Unknown 5 20%

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 11 September 2017.
All research outputs
#3,934,587
of 13,670,561 outputs
Outputs from Lecture notes in computer science
#2,018
of 7,336 outputs
Outputs of similar age
#82,245
of 262,627 outputs
Outputs of similar age from Lecture notes in computer science
#23
of 68 outputs
Altmetric has tracked 13,670,561 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,336 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 73% 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 262,627 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 68% of its contemporaries.
We're also able to compare this research output to 68 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 66% of its contemporaries.