Harald Köstler | DeepAI

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∙ 06/16/2023

AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study

Accurate price predictions are essential for market participants in orde...

0 Naga Venkata Sai Jitin Jami, et al. ∙

∙ 03/21/2023

Efficient and scalable hybrid fluid-particle simulations with geometrically resolved particles on heterogeneous CPU-GPU architectures

In recent years, it has become increasingly popular to accelerate numeri...

0 Samuel Kemmler, et al. ∙

∙ 02/22/2023

MD-Bench: Engineering the in-core performance of short-range molecular dynamics kernels from state-of-the-art simulation packages

Molecular dynamics (MD) simulations provide considerable benefits for th...

0 Rafael Ravedutti Lucio Machado, et al. ∙

∙ 07/26/2022

MD-Bench: A generic proxy-app toolbox for state-of-the-art molecular dynamics algorithms

Proxy-apps, or mini-apps, are simple self-contained benchmark codes with...

0 Rafael Ravedutti Lucio Machado, et al. ∙

∙ 04/27/2022

Evolving Generalizable Multigrid-Based Helmholtz Preconditioners with Grammar-Guided Genetic Programming

Solving the indefinite Helmholtz equation is not only crucial for the un...

0 Jonas Schmitt, et al. ∙

∙ 08/12/2021

Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

The aerodynamic optimization process of cars requires multiple iteration...

0 Sam Jacob Jacob, et al. ∙

∙ 09/16/2020

tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations

This paper investigates the suitability of the AnyDSL partial evaluation...

0 Rafael Ravedutti L. Machado, et al. ∙

∙ 01/31/2020

lbmpy: Automatic code generation for efficient parallel lattice Boltzmann methods

Lattice Boltzmann methods are a popular mesoscopic alternative to macros...

0 Martin Bauer, et al. ∙

∙ 01/31/2020

lbmpy: A flexible code generation toolkit for highly efficient lattice Boltzmann simulations

Lattice Boltzmann methods are a popular mesoscopic alternative to macros...

0 Martin Bauer, et al. ∙

∙ 10/07/2019

Optimizing Geometric Multigrid Methods with Evolutionary Computation

For many linear and nonlinear systems that arise from the discretization...

0 Jonas Schmitt, et al. ∙

∙ 09/30/2019

waLBerla: A block-structured high-performance framework for multiphysics simulations

Programming current supercomputers efficiently is a challenging task. Mu...

0 Martin Bauer, et al. ∙

∙ 04/18/2019

Towards whole program generation of quadrature-free discontinuous Galerkin methods for the shallow water equations

The shallow water equations (SWE) are a commonly used model to study tsu...

0 Sara Faghih-Naini, et al. ∙

∙ 11/30/2017

Lattice Boltzmann Benchmark Kernels as a Testbed for Performance Analysis

Lattice Boltzmann methods (LBM) are an important part of current computa...

0 Markus Wittmann, et al. ∙

∙ 11/23/2015

A Python Extension for the Massively Parallel Multiphysics Simulation Framework waLBerla

We present a Python extension to the massively parallel HPC simulation t...

0 Martin Bauer, et al. ∙

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