Parallel Processing and Applied Mathematics

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.