Galaxy Astrophysics

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How well do STARLAB and NBODY compare? II: Hardware and accuracy

P. Anders, H. Baumgardt, E. Gaburov, S. Portegies Zwart

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Tags: Algorithms, Astrophysics, Cosmology and Extragalactic Astrophysics, Galaxy Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 9800 GX2

January 30, 2012 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

E(A+M)PEC – An OpenCL Atomic and Molecular Plasma Emission Code For Interstellar Medium Simulations

Miguel A. de Avillez, Emanuele Spitoni, Dieter Breitschwerdt

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Tags: Astrophysics, Galaxy Astrophysics, High Energy Astrophysical Phenomena, nVidia, OpenCL, Plasma physics

September 27, 2011 by hgpu

Fitting Galaxies on GPUs

Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, FFT, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla C1060

January 13, 2011 by hgpu

The Living Application: a Self-Organising System for Complex Grid Tasks

D. Groen, S. Harfst, S. Portegies Zwart

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Tags: Computer science, Galaxy Astrophysics, N-body simulation, Networking and Internet Architecture, nVidia, nVidia GeForce 8800 Ultra

November 13, 2010 by hgpu

Supercomputing and stellar dynamics

R. Capuzzo-Dolcetta

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Tags: Astrophysics, Celestial mechanics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenMP, Stellar dynamics, Tesla C1060

November 13, 2010 by hgpu

Stellar-mass black holes in star clusters: implications for gravitational wave radiation

Sambaran Banerjee, Holger Baumgardt, Pavel Kroupa

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Tags: Astrophysics, Black hole physics, Galaxy Astrophysics, Gravitational waves, High Energy Astrophysical Phenomena, N-body simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 285, Solar and Stellar Astrophysics, Stellar dynamics

November 13, 2010 by hgpu

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Source codes

Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

Direct N-body simulations of globular clusters: (I) Palomar 14

Akram Hasani Zonoozi, Andreas H.W. Kuepper, Holger Baumgardt, Hosein Haghi, Pavel Kroupa, Michael Hilker

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Tags: Astrophysics, Galaxy Astrophysics, Globular clusters, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 280

November 9, 2010 by hgpu

Integrating Post-Newtonian Equations on Graphics Processing Units

Frank Herrmann, John Silberholz, Matias Bellone, Gustavo Guerberoff, Manuel Tiglio

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Earth and Planetary Astrophysics, Galaxy Astrophysics, General Relativity and Quantum Cosmology, High Energy Astrophysical Phenomena, Instrumentation and Methods for Astrophysics, nVidia, Physics, Solar and Stellar Astrophysics, Tesla S1070

November 8, 2010 by hgpu

Fast Simulations of Gravitational Many-body Problem on RV770 GPU

Kazuki Fujiwara, Naohito Nakasato

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Tags: Astrophysics, ATI, ATI CAL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Stream, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, RV770

October 28, 2010 by hgpu

Oct-tree Method on GPU

N. Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Stream, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, RV770

October 27, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

How well do STARLAB and NBODY compare? II: Hardware and accuracy

Implementation of a Parallel Tree Method on a GPU

E(A+M)PEC – An OpenCL Atomic and Molecular Plasma Emission Code For Interstellar Medium Simulations

Fitting Galaxies on GPUs

The Living Application: a Self-Organising System for Complex Grid Tasks

Supercomputing and stellar dynamics

Stellar-mass black holes in star clusters: implications for gravitational wave radiation

MYRIAD: A new N-body code for simulations of Star Clusters

Direct N-body simulations of globular clusters: (I) Palomar 14

Integrating Post-Newtonian Equations on Graphics Processing Units

Fast Simulations of Gravitational Many-body Problem on RV770 GPU

Oct-tree Method on GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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