Parallel Processing and Applied Mathematics
Description
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8-11, 2024.
The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections:
Part I : Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPC
Systems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing.
Part II : First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication.
Part III : First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical
Sciences; and 8th Workshop on Complex Collective Systems.
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Content
.- First Workshop on Advancements of Global Challenges Applications.
.- Simulation of wildfires using EuroHPC resources: challenges and opportunities.
.- Ktirio Urban Building: A Computational Framework for City Energy Simulations Enhanced by CI/CD Innovations on EuroHPC Systems.
.- Fostering uncertainty quantification in Global Challenges with mUQSA toolkit.
.- Portability of Multiphysics Applications on Heterogeneous Modular Supercomputers.
.- Efficient allocation of image recognition and LLM tasks on multi-GPU system.
.- Parallel reinforcement learning and Gaussian process regression for improved physics-based nasal surgery planning.
.- Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing.
.- AI-Driven Acceleration of Computational Fluid Dynamic Simulations.
.- A Framework and Methodology for Performance Prediction of HPC Workloads.
.- EM algorithm for cluster of multicore nodes using Level 3 BLAS operations to learn Gaussian mixture models.
.- MLP-based Adaptive Sampling and Optimization of Laser-Ion Acceleration with Ultra-Short Laser Pulses.
.- Minimization of Nonlinear Energies in Python Using FEM and Automatic Differentiation Tools.
.- Comparison of multigrid and machine learning-based Poisson solvers.
.- Adaptive Parallel Average Schwarz Preconditioner for reduced Hsieh-Clouh-Tocher Macro Element.
.- Special Session on Parallel EVD/SVD and its Application in Matrix Computations.
.- Preconditioning of the One-Sided Block-Jacobi SVD Algorithm by Polar Decomposition.
.- Comparison of Two QUBO Formulations of Approximate Block Diagonalization and Their Performance on the D-Wave Advantage Quantum Annealing Machine.
.- 6th Minisymposium on HPC Applications in Physical Sciences.
.- Efficient Algorithm for U(N) to U(3) Representation Reduction in Isospin-Adapted Nuclear Structure Calculations.
.- Study of the magnetic behaviour of oleic-acid coated Co ferrite nanoparticles: A multiscale modeling approach using high-performance computing.
.- 8th Workshop on Complex Collective Systems.
.- High-Resolution Agent-Based Modeling of Campus Population Behaviors for Pandemic Response Planning.
.- A comparison of selected agent-based modelling frameworks.
.- Modelling of opinion formation process on different social networks.
.- Machine learning approach for detecting potential anomalous cosmic rays particles tracks in Earth-scale Cosmic Ray Extremely Distributed Observatory.
.- A multi-cell cellular automata model for roundabout traffic flow considering the heterogeneity of human delay and acceleration.
.- Kernel estimates of pedestrian density applied in simulation of recreational pedestrian movement.
.- Personal Space of People in Movement under Different Conditions.
