Parallel Computing : Technology Trends.

Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods -- GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas -- Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction -- Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR.

Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI -- Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation -- Unified Generation of DG-Kernels for Different HPC Frameworks -- Invasive Computing for Power Corridor Management -- Enforcing Reference Capability in FastFlow with Rust -- Performance -- AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries -- Towards Benchmarking the Asynchronous Progress of Non-Blocking MPI Operations -- Power Management -- Acceleration of Interactive Multiple Precision Arithmetic Toolbox MuPAT Using FMA, SIMD, and OpenMP -- Dynamic Runtime and Energy Optimization for Power-Capped HPC Applications -- Programming Paradigms -- Paradigm Shift in Program Structure of Particle-in-Cell Simulations -- Backus FP Revisited: A Parallel Perspective on Modern Multicores -- Multi-Variant User Functions for Platform-Aware Skeleton Programming.

Scalability Analysis -- POETS: Distributed Event-Based Computing - Scaling Behaviour -- Towards High-End Scalability on Biologically-Inspired Computational Models -- Scientific Visualization -- GraphiX: A Fast Human-Computer Interaction Symmetric Multiprocessing Parallel Scientific Visualization Tool -- When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization -- Stream Processing -- Seamless Parallelism Management for Video Stream Processing on Multi-Cores -- High-Level Stream Parallelism Abstractions with SPar Targeting GPUs -- Mini-Symposia -- Energy-Efficient Computing on Parallel Architectures (ECOPAR) -- Energy-Efficiency Evaluation of FPGAs for Floating-Point Intensive Workloads -- GPU Acceleration of Four-Site Water Models in LAMMPS -- Energy Consumption of MD Calculations on Hybrid and CPU-Only Supercomputers with Air and Immersion Cooling -- Direct N-Body Application on Low-Power and Energy-Efficient Parallel Architectures -- Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing Using Python -- Computational Performances and Energy Efficiency Assessment for a Lattice Boltzmann Method on Intel KNL -- Performance, Power Consumption and Thermal Behavioral Evaluation of the DGX-2 Platform -- On the Performance and Energy Efficiency of Sparse Matrix-Vector Multiplication on FPGAs -- Evaluation of DVFS and Uncore Frequency Tuning Under Power Capping on Intel Broadwell Architecture -- ELPA - A Parallel Dense Eigensolver for Symmetric Matrices with Applications in Computational Chemistry -- ELPA: A Parallel Solver for the Generalized Eigenvalue Problem -- ParaFPGA 2019. Parallel Computing with FPGAs -- Parallel Totally Induced Edge Sampling on FPGAs -- An Implementation of Non-Local Means Algorithm on FPGA.

Accelerating Binarized Convolutional Neural Networks with Dynamic Partial Reconfiguration on Disaggregated FPGAs -- Porting a Lattice Boltzmann Simulation to FPGAs Using OmpSs -- A Processor Architecture for Executing Global Cellular Automata as Software -- Crossbar Implementation with Partial Reconfiguration for Stream Switching Applications on an FPGA -- Tools and Infrastructure for Reproducibility in Data-Intensive Applications -- Cryptographic Methods with a Pli Cachet?. Towards the Computational Assurance of Integrity -- Replicating Machine Learning Experiments in Materials Science -- Documenting Computing Environments for Reproducible Experiments -- Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform -- Subject Index -- Author Index.

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