E-raamat: Parallel Processing and Applied Mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part II

9th Workshop on Language-Based Parallel Programming (WLPP
2022).- Kokkos-Based Implementation of MPCD on Heterogeneous Nodes.-
Comparison of Load Balancing Schemes for Asynchronous
Many-Task Runtimes.- New Insights on the Revised Definition of the
Performance Portability Metric.- Inferential statistical analysis of
performance portability.- NPDP Benchmark Suite for Loop Tiling Effectiveness
Evaluation.- Parallel Vectorized Implementations of Compensated
Summation Algorithms.- 6th Workshop on Models, Algorithms and Methodologies
for Hybrid Parallelism in New HPC Systems (MAMHYP 2022).- Malleability
Techniques for HPC Systems.- Algorithm and software overhead: a theoretical
approach to performance portability.- Benchmarking A High Performance
Computing Heterogeneous Cluster.- A Generative Adversarial Network approach
for noise and artifacts reduction in MRI head and neck imaging.- A GPU
accelerated Hyperspectral 3D Convolutional Neural Network Classification at
the Edge with Principal Component Analysis preprocessing.- Parallel gEUD
models for accelerated IMRT planning on modern HPC platforms.- First Workshop
on Quantum Computing and Communication.- On Quantum-Assisted LDPC Decoding
Augmented with Classical Post-Processing.- Quantum annealing to solve the
unrelated parallel machine scheduling problem.- Early experiences with a
photonic quantum simulator for solving Job Shop Scheduling Problem.- Some
remarks on super-gram operators for general bipartite
quantum states.- Solving the Traveling Salesman Problem with a Hybrid
Quantum-Classical Feedforward Neural Network.- Software aided analysis of EWL
based quantum games.- First Workshop on Applications of Machine Learning and
Artificial Intelligence in High Performance Computing (WAML
2022).- Adaptation of AI-accelerated CFD simulations to the IPU
platform.- Performance Analysis of Convolution Algorithms for Deep Learning
on Edge Processors.- Machine Learning-based Online Scheduling in Distributed
Computing.- High Performance Computing Queue Time Prediction using
Clustering and Regression.- Acceptance Rates of Invertible Neural Networks on
Electron Spectra from Near-Critical Laser-Plasmas: A Comparison.- 4th
Workshop on Applied High Performance Numerical Algorithms for PDEs.- MATLAB
implementation of hp finite elements on rectangles using hierarchical basis
functions.- Adaptive Parallel Average Schwarz Preconditioner for
Crouzeix-Raviart Finite Volume Method.- Parareal method for anisotropic
diffusion denoising.- Comparison of block preconditioners for the Stokes
problem with discontinuous viscosity and friction.- On minimization of
nonlinear energies usingFEM in MATLAB.- A model for crowd evacuation
dynamics: 2D numerical simulations.- 5th Minisymposium on HPC Applications in
Physical Sciences.- Parallel Identification of Unique Sequences in Nuclear
Structure Calculations.- Experimental and computer study of molecular
dynamics of a new pyridazine derivative.- Description of magnetic
nanomolecules by the extended multi-orbital Hubbard model: perturbative vs
numerical approach.- Structural and electronic properties of small-diameter
Carbon NanoTubes: a DFT study.- 8th Minisymposium on High Performance
Computing Interval Methods.- Need for Techniques Intermediate Between
Interval and Probabilistic Ones.- A Cross-Platform Benchmark for Interval
Computation Libraries.- Testing interval arithmetic libraries, including
their IEEE-1788 compliance.- A survey of interval algorithms for solving
multicriteria analysis problems.- 7th Workshop on Complex Collective
Systems.- Social Fragmentation Transitions in Large-Scale Parameter
Sweep Simulations of Adaptive Social Networks.- Parking search in urban
street networks: Taming down the complexity of the search-time problem via a
coarse-graining approach.- A multi-agent cellular automata model of lane
changing behaviour considering the aggressiveness and the
autonomy.- Comparison of the use of UWB and BLE as positioning methods
in data-driven modeling of pedestrian dynamics.- An Insight into the
State-of-the-Art Vehicular Fog Computing with an Opportunistic Flavour.