Parallel Processing and Applied Mathematics

1. Front Matter

   Pages i-xxiii

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2. Numerical Algorithms and Parallel Scientific Computing

   1. Front Matter

      Pages 1-1

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   2. Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs

      • Matthias Korch, Tim Werner

      Pages 3-12

   3. Structure-Aware Calculation of Many-Electron Wave Function Overlaps on Multicore Processors

      • Davor Davidović, Enrique S. Quintana-Ortí

      Pages 13-24

   4. Lazy Stencil Integration in Multigrid Algorithms

      • Charles D. Murray, Tobias Weinzierl

      Pages 25-37

   5. High Performance Tensor–Vector Multiplication on Shared-Memory Systems

      • Filip Pawłowski, Bora Uçar, Albert-Jan Yzelman

      Pages 38-48

   6. Efficient Modular Squaring in Binary Fields on CPU Supporting AVX and GPU

      • Paweł Augustynowicz, Andrzej Paszkiewicz

      Pages 49-57

   7. Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils

      • Carl Christian Kjelgaard Mikkelsen, Mirko Myllykoski

      Pages 58-69

   8. Introduction to StarNEig—A Task-Based Library for Solving Nonsymmetric Eigenvalue Problems

      • Mirko Myllykoski, Carl Christian Kjelgaard Mikkelsen

      Pages 70-81

   9. Robust Task-Parallel Solution of the Triangular Sylvester Equation

      • Angelika Schwarz, Carl Christian Kjelgaard Mikkelsen

      Pages 82-92

   10. Vectorized Parallel Solver for Tridiagonal Toeplitz Systems of Linear Equations

       • Beata Dmitruk, Przemysław Stpiczyński

       Pages 93-103

   11. Parallel Performance of an Iterative Solver Based on the Golub-Kahan Bidiagonalization

       • Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Rüde

       Pages 104-116

   12. A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems

       • Linus Seelinger, Anne Reinarz, Robert Scheichl

       Pages 117-128

   13. Hybrid Solver for Quasi Block Diagonal Linear Systems

       • Viviana Arrigoni, Annalisa Massini

       Pages 129-140

   14. Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems

       • Michal Kravčenko, Jan Zapletal, Xavier Claeys, Michal Merta

       Pages 141-150Open Access

   15. Implementation of Parallel 3-D Real FFT with 2-D Decomposition on Intel Xeon Phi Clusters

       • Daisuke Takahashi

       Pages 151-161

   16. Exploiting Symmetries of Small Prime-Sized DFTs

       • Doru Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low

       Pages 162-173

   17. Parallel Computations for Various Scalarization Schemes in Multicriteria Optimization Problems

       • Victor Gergel, Evgeny Kozinov

       Pages 174-184

3. Emerging HPC Architectures

   1. Front Matter

      Pages 185-185

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   2. Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations

      • Enrico Calore, Alessandro Gabbana, Fabio Rinaldi, Sebastiano Fabio Schifano, Raffaele Tripiccione

      Pages 187-198

The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019.

The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions.

The papers were organized in topical sections named as follows:

Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations.

Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.

Chapters "Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

• artificial intelligence
• computer hardware
• computer programming
• computer systems
• distributed computer systems
• distributed systems
• engineering
• gpu
• mathematics
• microprocessor chips
• multi core
• parallel algorithms
• parallel architectures
• parallel computing
• parallel processing systems
• parallel programming
• processors
• program compilers
• signal processing

• Czestochowa University of Technology, Czestochowa, Poland

  Roman Wyrzykowski, Konrad Karczewski

• University of Southern California, Marina del Rey, USA

  Ewa Deelman

• University of Tennessee, Knoxville, USA

  Jack Dongarra

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