Parallel Processing and Applied Mathematics : 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I / edited by Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski.

Format:

Book

Contributor:

Wyrzykowski, Roman, editor.

Dongarra, J. J., editor.

Deelman, Ewa, editor.

Karczewski, Konrad, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 10777.

Theoretical Computer Science and General Issues ; 10777

Language:

English

Subjects (All):

Software engineering.

Computer organization.

Logic design.

Computer science--Mathematics.

Computer science.

Artificial intelligence.

Algorithms.

Software Engineering.

Computer Systems Organization and Communication Networks.

Logic Design.

Mathematics of Computing.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Software Engineering.

Computer Systems Organization and Communication Networks.

Logic Design.

Mathematics of Computing.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XXV, 660 pages) : 261 illustrations.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. .

Contents:

Numerical Algorithms and Parallel Scientific Computing

Advances in Incremental PCA Algorithms

Algorithms for forward and backward solution of the Fokker-Planck equation in the heliospheric transport of cosmic rays

Efficient Evaluation of Matrix Polynomials

A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES

Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs

Comparison of parallel time-periodic Navier-Stokes solvers

Blocked Algorithms for Robust Solution of Triangular Linear Systems

A Comparison of Accuracy and Efficiency of Parallel Solvers for Fractional Power Diffusion Problems

Efficient Cross Section Reconstruction on Modern Multi and Many Core Architectures

Parallel assembly of ACA BEM matrices on Xeon Phi clusters

Stochastic bounds for Markov chains on Intel Xeon Phi coprocessor

Particle Methods in Simulations

Fast DEM collision checks on multicore nodes

A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method

Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems

Task-Based Paradigm of Parallel Computing

TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution

Comparison of Time and Energy Oriented Scheduling for Task-based Programs

Experiments with sparse Cholesky using a parametrized task graph Implementation

A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form

GPU Computing

Radix Tree for Binary Sequences on GPU

A comparison of performance tuning process for different generations of NVIDIA GPUs and an example scientific computing algorithm

NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch

Two-Echelon System Stochastic Optimization with R and CUDA

Parallel Hierarchical Agglomerative Clustering for fMRI Data

Parallel Non-numerical Algorithms

Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs

Approximating Personalized Katz Centrality in Dynamic Graphs

Graph-Based Speculative Query Execution for RDBMS

A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation

Performance Evaluation of Parallel Algorithms and Applications

Early performance evaluation of the hybrid cluster with torus interconnect aimed at molecular-dynamics simulations

Load balancing for CPU-GPU coupling in Computational Fluid Dynamics

Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer

An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods

Prediction of the Inter-Node Communication Costs of a New Gyrokinetic Code with Toroidal Domain

D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation

Environments and Frameworks for Parallel/Distributed/Cloud Computing

Dfuntest: A Testing Framework for Distributed Applications

Security monitoring and analytics in the context of HPC processing model

Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data

Bridging the Gap between HPC and Cloud using HyperFlow and PaaSage

A Memory Efficient Parallel All-Pairs Computation Framework: Computation - Communication Overlap

Automatic Parallelization of ANSI C to CUDA C Programs.-Consistency Models for Global Scalable Data Access Services

Applications of Parallel Computing

Global state monitoring in optimization of parallel event-driven simulation

High Performance Optimization of Independent Component Analysis Algorithm for EEG Data

Continuous and discrete models of melanoma progression simulated in multi-GPU environment

Early experience on using Knights Landing processors for Lattice Boltzmann applications

Soft Computing with Applications

Towards a Model of Semi-Supervised Learning for the Syntactic Pattern Recognition-based Electrical Load Prediction System

Parallel Processing of Color Digital Images for Linguistic Description of Their Content

Co-evolution of fitness predictors and Deep Neural Networks

Performance evaluation of DBN learning on Intel multi- and manycore architectures

Special Session on Parallel Matrix Factorizations

On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment

New Preconditioning for the One-Sided Block-Jacobi SVD Algorithm

Structure-preserving technique in the block SS-Hankel method for solving Hermitian generalized eigenvalue problems

On using the Cholesky QR method in the full-blocked one-sided Jacobi algorithm

Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems

Partial Inverses of Complex Block Tridiagonal Matrices

Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior.

Other Format:

Printed edition:

ISBN:

978-3-319-78024-5

9783319780245

Access Restriction:

Restricted for use by site license.