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hgpu.org » Instrumentation and Methods for Astrophysics

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Burkhard Zink

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 28, 2011 by hgpu

Data Mining and Machine Learning in Astronomy

Nicholas M. Ball, Robert J. Brunner

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Data mining, Instrumentation and Methods for Astrophysics, nVidia, Review

February 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

DSPSR: Digital Signal Processing Software for Pulsar Astronomy

W. van Straten, M. Bailes

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Source codes

Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, Package, Physics, Tesla C2050

December 21, 2010 by hgpu

Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

A. H. Hassan, C. J. Fluke, D. G. Barnes

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Physics, Rendering

December 15, 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

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

Jani Sainio

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Source codes

Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, Package

November 13, 2010 by hgpu

Advanced Architectures for Astrophysical Supercomputing

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

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia

November 12, 2010 by hgpu

GPU-Based Volume Rendering of Noisy Multi-Spectral Astronomical Data

Amr H. Hassan, Christopher J. Fluke, David G. Barnes

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia

November 12, 2010 by hgpu

Measuring Bandwidth for Super Computer Workloads

A. Neela Madheswari, R. S. D. Wahida Banu

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Tags: Astrophysics, Computer science, Instrumentation and Methods for Astrophysics

November 12, 2010 by hgpu

Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

R. G. Edgar, M. A. Clark, K. Dale, D. A. Mitchell, S. M. Ord, R. B. Wayth, H. Pfister, L. J. Greenhill

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

November 12, 2010 by hgpu

High-performance astrophysical visualization using Splotch

Zhefan Jin, Mel Krokos, Marzia Rivi, Claudio Gheller, Klaus Dolag, Martin Reinecke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia Quadro FX 5600, Visualization

November 11, 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

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Data Mining and Machine Learning in Astronomy

Fitting Galaxies on GPUs

DSPSR: Digital Signal Processing Software for Pulsar Astronomy

Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

Supercomputing and stellar dynamics

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

Advanced Architectures for Astrophysical Supercomputing

GPU-Based Volume Rendering of Noisy Multi-Spectral Astronomical Data

Measuring Bandwidth for Super Computer Workloads

Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

High-performance astrophysical visualization using Splotch

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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