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03/15/2023
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku
The increasing availability of machines relying on non-GPU architectures...
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03/04/2023
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL
Ranging from NVIDIA GPUs to AMD GPUs and Intel GPUs: Given the heterogen...
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02/16/2023
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps
The ability for groundwater heat pumps to meet space heating and cooling...
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10/13/2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Machine learning-based modeling of physical systems has experienced incr...
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09/26/2022
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels
Meeting both scalability and performance portability requirements is a c...
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09/26/2022
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types
Octo-Tiger, a large-scale 3D AMR code for the merger of stars, uses a co...
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09/23/2022
A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
The exact numerical simulation of plasma turbulence is one of the assets...
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03/29/2022
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps
Climate control of buildings makes up a significant portion of global en...
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02/25/2022
PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine
Machine learning algorithms must be able to efficiently cope with massiv...
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12/10/2021
How to Avoid Trivial Solutions in Physics-Informed Neural Networks
The advent of scientific machine learning (SciML) has opened up a new fi...
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12/10/2021
Surrogate-data-enriched Physics-Aware Neural Networks
Neural networks can be used as surrogates for PDE models. They can be ma...
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11/17/2021
Learning Free-Surface Flow with Physics-Informed Neural Networks
The interface between data-driven learning methods and classical simulat...
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11/17/2021
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
In recent years, the usage of ensemble learning in applications has grow...
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11/17/2021
Self-Learning Tuning for Post-Silicon Validation
Increasing complexity of modern chips makes design validation more diffi...
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07/23/2021
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit
Octo-Tiger is a code for modeling three-dimensional self-gravitating ast...
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01/30/2021
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application
Analyzing performance within asynchronous many-task-based runtime system...
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04/24/2020
Evaluation of Pool-based Testing Approaches to Enable Population-wide Screening for COVID-19
Background: Rapid testing for an infection is paramount during a pandemi...
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08/08/2019
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions
We study the simulation of stellar mergers, which requires complex simul...
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02/08/2018
