E-raamat: Parallel Processing and Applied Mathematics: 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I

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 NavierStokes
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 multicorenodes.- 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 eventdriven 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
OneSided BlockJacobi SVD Algorithm.- Structure-preserving technique in the
block SSHankel 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.