Due to the increasing frequency of disastrous events, the challenge of creating large-scale
simulation models has become of major significance. Indeed, several simulation strategies …

This work is an overview of our preliminary experience in develo** a high-performance
iterative linear solver accelerated by GPU coprocessors. Our goal is to illustrate the …

Harnessing the power of modern multi-GPU architectures, we present a massively parallel
simulation system based on the Material Point Method (MPM) for simulating physical …

We propose a parallel implementation of the Preconditioned Conjugate Gradient algorithm
on a GPU platform. The preconditioning matrix is an approximate inverse derived from the …

We present a novel parallel algorithm for cloth simulation that exploits multiple GPUs for fast
computation and the handling of very high resolution meshes. To accelerate implicit …

Parallelization of the finite-element method (FEM) has been contemplated by the scientific
and high-performance computing community for over a decade. Most of the computations in …

With the increased popularity of multi-GPU nodes in modern HPC clusters, it is imperative to
develop matching programming paradigms for their efficient utilization. In order to take …

Traffic simulation is a critical tool for congestion analysis, travel time estimation, and route
optimization in urban planning, benefiting navigation apps, transportation network …

This paper proposes a fine-grained implementation of matrix-free Conjugate Gradient (CG)
solver for Finite Element Analysis (FEA) using Graphics Processing Unit (GPU) …

This book describes, in a basic way, the most useful and effective iterative solvers and
appropriate preconditioning techniques for some of the most important classes of large and …