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hgpu.org » Applications » Physics » Astrophysics

Exploring the Millennium Run – Scalable Rendering of Large-Scale Cosmological Datasets

Roland Fraedrich, Jens Schneider, Rudiger Westermann

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Tags: Astrophysics, Computer science, Cosmology, DirectX, HLSL, nVidia, nVidia GeForce GTX 280, Rendering, Vector quantization, Visualization

September 4, 2011 by hgpu

Reconstruction and visualization of planetary nebulae

Marcus Magnor, Gordon Kindlmann, Charles Hansen, Neb Duric

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Tags: Astrophysics, Nonlinear optimization, nVidia, nVidia GeForce FX 3000, Optimization, Rendering, Visualization

August 5, 2011 by hgpu

Constrained inverse volume rendering for planetary nebulae

M. Magnor, G. Kindlmann, N. Duric, C. Hansen

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Tags: Astrophysics, Nonlinear optimization, nVidia, nVidia GeForce FX 3000, Optimization, Rendering, Visualization

August 5, 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

Visualizing Multiwavelength Astrophysical Data

Hongwei Li, Chi-Wing Fu, Andrew J. Hanson

Tags: Astrophysics, Physics, Visualization

July 8, 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

Fast, large volume, GPU enabled simulations for the Ly-alpha forest: power spectrum forecasts for baryon acoustic oscillation experiments

Bradley Greig, James S. Bolton, J. Stuart B. Wyithe

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Tags: Astrophysics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia Quadro FX 580

May 25, 2011 by hgpu

Astrophysical Particle Simulations with Custom GPU Clusters

R. Spurzem, P. Berczik, K. Nitadori, G. Marcus, A. Kugel, R. Manner, I. Berentzen, R. Klessen, R. Banerjee

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1070, Tesla C870

May 19, 2011 by hgpu

Astrophysical particle simulations with large custom GPU clusters on three continents

R. Spurzem, P. Berczik, I. Berentzen, K. Nitadori, T. Hamada, G. Marcus, A. Kugel, R. Männer, J. Fiestas, R. Banerjee, R. Klessen

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1060, Tesla C2050

May 10, 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

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Applications

Exploring the Millennium Run – Scalable Rendering of Large-Scale Cosmological Datasets

Reconstruction and visualization of planetary nebulae

Constrained inverse volume rendering for planetary nebulae

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

Visualizing Multiwavelength Astrophysical Data

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

Fast, large volume, GPU enabled simulations for the Ly-alpha forest: power spectrum forecasts for baryon acoustic oscillation experiments

Astrophysical Particle Simulations with Custom GPU Clusters

Astrophysical particle simulations with large custom GPU clusters on three continents

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

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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