The present book provides an introduction to using space-filling curves (SFC) as tools in
scientific computing. Special focus is laid on the representation of SFC and on resulting …

Pregel [23] was recently introduced as a scalable graph mining system that can provide
significant performance improvements over traditional MapReduce implementations …

Graph partitioning is an enabling technology for parallel processing as it allows for the
effective decomposition of unstructured computations whose data dependencies correspond …

High-fidelity computational simulation can be an invaluable tool in planning strategies for
hazard risk mitigation. The accuracy and reliability of the predictions are crucial elements of …

Computational fluid dynamics combined with discrete element method (CFD–DEM) is widely
adopted to study particle–fluid multiphase systems. However, due to the global dynamical …

Practical production optimization problems typically involve large, highly complex reservoir
models, thousands of unknowns and many nonlinear constraints, which makes the …

This work presents our efforts to implement an MPI/OpenMP hybrid parallelization of the
LIGGGHTS open-source software package for Discrete Element Methods (DEM). We outline …

Neural networks can be used to identify and remove noise from noisy speech spectrum
(denoisisng autoencoders, DAEs). The DAEs are typically implemented using the fully …

Due to the growing popularity of laser powder bed fusion (LPBF) as a metal additive
manufacturing technique, there is a strong need to be able to accurately predict build …

This paper describes and tests a parallel message-passing code for constructing sparse
approximate inverse preconditioners using Frobenius norm minimization. The sparsity …