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.