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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...
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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...
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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...
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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...
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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...
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08/12/2021
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
The aerodynamic optimization process of cars requires multiple iteration...
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09/16/2020
tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations
This paper investigates the suitability of the AnyDSL partial evaluation...
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01/31/2020
lbmpy: Automatic code generation for efficient parallel lattice Boltzmann methods
Lattice Boltzmann methods are a popular mesoscopic alternative to macros...
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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...
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10/07/2019
Optimizing Geometric Multigrid Methods with Evolutionary Computation
For many linear and nonlinear systems that arise from the discretization...
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09/30/2019
waLBerla: A block-structured high-performance framework for multiphysics simulations
Programming current supercomputers efficiently is a challenging task. Mu...
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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...
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11/30/2017
Lattice Boltzmann Benchmark Kernels as a Testbed for Performance Analysis
Lattice Boltzmann methods (LBM) are an important part of current computa...
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11/23/2015
