In the context of scientific computing, the mesh is used as a discrete support for the
considered numerical methods. As a consequence, the mesh greatly impacts the efficiency …

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 …

We exploit the high memory bandwidth of AI-customized Cerebras CS-2 systems for seismic
processing. By leveraging low-rank matrix approximation, we fit memory-hungry seismic …

We introduce a new method for fluid simulation on high-resolution adaptive grids which
rivals the throughput and parallelism potential of methods based on uniform grids. Our …

We describe a parallel lattice-Boltzmann code for efficient simulation of fluid flow in complex
geometries. The lattice-Boltzmann model and the structure of the code are discussed. The …

Развиваются методы ускорения сходимости итерационного процесса, основанные на
использовании геометрических и алгебраических многосеточных технологий …

A parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the
prediction of steady turbulent non-premixed compressible combusting flows in three space …

This work presents an adaptive mesh refinement (AMR) method. This AMR is based on a
pointless representation of octrees, ie hash table. An individual hash table is used for each …

A parallel adaptive mesh refinement (AMR) algorithm is proposed for predicting turbulent
non-premixed combusting flows characteristic of gas turbine engine combustors. The Favre …

Many geophysical inverse problems involve large and dense coefficient matrices that often
exceed the limitations of physical memory in commonly available computers. The repeated …