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Related papers: Octo-Tiger's New Hydro Module and Performance Usin…

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OCTO-TIGER is an astrophysics code to simulate the evolution of self-gravitating and rotat-ing systems of arbitrary geometry based on the fast multipole method, using adaptive mesh refinement. OCTO-TIGER is currently optimised to simulate…

Instrumentation and Methods for Astrophysics · Physics 2021-08-12 Dominic C. Marcello , Sagiv Shiber , Orsola De Marco , Juhan Frank , Geoffrey C. Clayton , Patrick M. Motl , Patrick Diehl , Hartmut Kaiser

We study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynamics simulation code with Adaptive Mesh Refinement which is…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-28 Gregor Daiß , Parsa Amini , John Biddiscombe , Patrick Diehl , Juhan Frank , Kevin Huck , Hartmut Kaiser , Dominic Marcello , David Pfander , Dirk Pflüger

Octo-Tiger, a large-scale 3D AMR code for the merger of stars, uses a combination of HPX, Kokkos and explicit SIMD types, aiming to achieve performance-portability for a broad range of heterogeneous hardware. However, on A64FX CPUs, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-10 Gregor Daiß , Srinivas Yadav Singanaboina , Patrick Diehl , Hartmut Kaiser , Dirk Pflüger

Dynamic and adaptive mesh refinement is pivotal in high-resolution, multi-physics, multi-model simulations, necessitating precise physics resolution in localized areas across expansive domains. Today's supercomputers' extreme heterogeneity…

Meeting both scalability and performance portability requirements is a challenge for any HPC application, especially for adaptively refined ones. In Octo-Tiger, an astrophysics application for the simulation of stellar mergers, we approach…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-07 Gregor Daiß , Patrick Diehl , Dominic Marcello , Alireza Kheirkhahan , Hartmut Kaiser , Dirk Pflüger

The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting challenges to application developers. In addition to requiring code portability across…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-18 Patrick Diehl , Gregor Daiß , Kevin Huck , Dominic Marcello , Sagiv Shiber , Hartmut Kaiser , Dirk Pflüger

Ranging from NVIDIA GPUs to AMD GPUs and Intel GPUs: Given the heterogeneity of available accelerator cards within current supercomputers, portability is a key aspect for modern HPC applications. In Octo-Tiger, we rely on Kokkos and its…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-10 Gregor Daiß , Patrick Diehl , Hartmut Kaiser , Dirk Pflüger

Benchmarking and comparing performance of a scientific simulation across hardware platforms is a complex task. When the simulation in question is constructed with an asynchronous, many-task (AMT) runtime offloading work to GPUs, the task…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-13 Patrick Diehl , Gregor Daiss , Kevin Huck , Dominic Marcello , Sagiv Shiber , Hartmut Kaiser , Juhan Frank , Geoffrey C. Clayton , Dirk Pflueger

A heterogeneous CPU-GPU node is getting popular in HPC clusters. We need to rethink algorithms and optimization techniques for such system depending on the relative performance of CPU vs. GPU. In this paper, we report a performance…

Instrumentation and Methods for Astrophysics · Physics 2012-06-07 Naohito Nakasato , Go Ogiya , Yohei Miki , Masao Mori , Ken'ichi Nomoto

We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow the orbital evolution of DWD systems of mass ratio q=0.7 for…

We have designed and developed, from scratch, a global circulation model named THOR that solves the three-dimensional non-hydrostatic Euler equations. Our general approach lifts the commonly used assumptions of a shallow atmosphere and…

Earth and Planetary Astrophysics · Physics 2016-10-05 João M. Mendonça , Simon L. Grimm , Luc Grosheintz , Kevin Heng

In the paper we discuss the main features of the software package for numerical simulations of the surface water dynamics. We consider an approximation of the shallow water equations together with the parallel technologies for NVIDIA CUDA…

Computational Engineering, Finance, and Science · Computer Science 2017-05-03 Tatyana Dyakonova , Alexander Khoperskov , Sergey Khrapov

Hydra is a header-only, templated and C++11-compliant framework designed to perform the typical bottleneck calculations found in common HEP data analyses on massively parallel platforms. The framework is implemented on top of the C++11…

Mathematical Software · Computer Science 2017-11-17 A. A. Alves , M. D. Sokoloff

We present the extension of the differentiable hydrodynamics code, diffhydro, enabling scalable PDE-constrained inference and integrated hybrid physics-ML models for a wide range of astrophysical applications. New physics additions include…

Instrumentation and Methods for Astrophysics · Physics 2025-12-16 Benjamin Horowitz , Zarija Lukić , Kentaro Nagamine , Yuri Oku

An existing hybrid MPI-OpenMP scheme is augmented with a CUDA-based fine grain parallelization approach for multidimensional distributed Fourier transforms, in a well-characterized pseudospectral fluid turbulence code. Basics of the hybrid…

Computational Physics · Physics 2018-08-07 Duane Rosenberg , Pablo D. Mininni , Raghu Reddy , Annick Pouquet

Modern graphics processing units (GPUs) lead to a major increase in the performance of the computation of astrophysical simulations. Owing to the different nature of GPU architecture compared to traditional central processing units (CPUs)…

Earth and Planetary Astrophysics · Physics 2016-04-13 Christoph M. Schäfer , Sven Riecker , Thomas I. Maindl , Roland Speith , Samuel Scherrer , Wilhelm Kley

Heterogeneous systems are becoming more common on High Performance Computing (HPC) systems. Even using tools like CUDA and OpenCL it is a non-trivial task to obtain optimal performance on the GPU. Approaches to simplifying this task include…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-01-11 Marek Blazewicz , Steven R. Brandt , Peter Diener , David M. Koppelman , Krzysztof Kurowski , Frank Löffler , Erik Schnetter , Jian Tao

To achieve scalability with today's heterogeneous HPC resources, we need a dramatic shift in our thinking; MPI+X is not enough. Asynchronous Many Task (AMT) runtime systems break down the global barriers imposed by the Bulk Synchronous…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-09 Thomas Heller , Patrick Diehl , Zachary Byerly , John Biddiscombe , Hartmut Kaiser

The special computational challenges of simulating 3-D hydrodynamics in deep stellar interiors are discussed, and numerical algorithmic responses described. Results of recent simulations carried out at scale on the NSF's Blue Waters machine…

Solar and Stellar Astrophysics · Physics 2019-10-02 Paul R. Woodward , Pei-Hung Lin , Huaqing Mao , Robert Andrassy , Falk Herwig
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