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Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

Christopher J. Fluke

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Tags: Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, Overview

November 23, 2011 by hgpu

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

L. Lin, Chung-Sang Ng, A. Bhattacharjee

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Tags: Astrophysics, Computational Physics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, Plasma physics, Solar and Stellar Astrophysics, Spectral methods, Tesla C2050

September 29, 2011 by hgpu

A 3D radiative transfer framework: XIII. OpenCL implementation

Peter H. Hauschildt, E. Baron

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Tags: Astrophysics, ATI, ATI Radeon HD 4870, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GT, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia Quadro FX 4800, OpenCL, Solar and Stellar Astrophysics, Tesla C2050

July 29, 2011 by hgpu

Accelerating Radio Astronomy Cross-Correlation with Graphics Processing Units

M. A. Clark, P. C. La Plante, L. J. Greenhill

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Tesla C1060

July 22, 2011 by hgpu

Real-time, fast radio transient searches with GPU de-dispersion

Alessio Magro, Aris Karastergiou, Stefano Salvini, Benjamin Mort, Fred Dulwich, Kristian Zarb Adami

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

July 14, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

N-body Simulation for Astronomical Collisional Systems with a New SIMD Instruction Set Extension to the x86 Architecture, Advanced Vector Extensions

Ataru Tanikawa, Kohji Yoshikawa, Takashi Okamoto, Keigo Nitadori

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Tags: Algorithms, Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, Stellar dynamics

April 15, 2011 by hgpu

ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere

Franz Elsner, Benjamin D. Wandelt

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Tags: Astrophysics, CUDA, Image processing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Physics

April 7, 2011 by hgpu

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Hsi-Yu Schive, Ui-Han Zhang, Tzihong Chiueh

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Tesla C2050

March 18, 2011 by hgpu

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

C. D. Ott, E. Schnetter, G. Allen, E. Seidel, J. Tao, B. Zink

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

February 28, 2011 by hgpu

A general relativistic evolution code on CUDA architectures

Burkhard Zink

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Tags: Astrophysics, CUDA, Finite difference, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Amr Hassan, Christopher J. Fluke

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Review, Visualization

February 28, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

A 3D radiative transfer framework: XIII. OpenCL implementation

Accelerating Radio Astronomy Cross-Correlation with Graphics Processing Units

Real-time, fast radio transient searches with GPU de-dispersion

A sparse octree gravitational N-body code that runs entirely on the GPU processor

N-body Simulation for Astronomical Collisional Systems with a New SIMD Instruction Set Extension to the x86 Architecture, Advanced Vector Extensions

ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

A general relativistic evolution code on CUDA architectures

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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