Parallel Processing and Applied Mathematics

12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part I

Häftad, Engelska, 2018

Av Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski

729 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2018-03-23
Mått155 x 235 x 37 mm
Vikt1 025 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor660
FörlagSpringer International Publishing AG
ISBN9783319780238

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Programmeringsböcker inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it

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 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 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.