high performance computing on graphics processing units: hgpu.org

hgpu.org » Cosmology

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Go Ogiya, Masao Mori, Yohei Miki, Taisuke Boku, Naohito Nakasato

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Tags: Analytical model, Astrophysics, Cosmology, CUDA, GPU cluster, Gravitation, N-body simulation, nVidia, Physics, Tesla M2090

August 17, 2013 by hgpu

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Benjamin D. Wibking

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Tags: Astrophysics, Cosmology, CUDA, Gravitation, N-body simulation, nVidia, Package, Thesis

May 7, 2013 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

A new gravitational N-body simulation algorithm for investigation of cosmological chaotic advection

Diego H. Stalder, Reinaldo R. Rosa, Jose da Silve Junior, Esteban Clua, Renata Ruiz, Haroldo F. Campos Velho, Fernando Ramos, Amarisio da Silva Araujo, Vitor Gomes Conrado

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Tags: Astrophysics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 680

August 17, 2012 by hgpu

Optimising Cosmological N-body Simulations in GPU Clusters

Santanu T

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla S1070, Thesis

July 25, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Rafael Ponce, Miguel Cardenas-Montes, Juan Jose Rodriguez-Vazquez, Eusebio Sanchez, Ignacio Sevilla

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Tags: Algorithms, Astrophysics, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 295, Package, Tesla C1060, Tesla C2050

May 1, 2012 by hgpu

Particle-based Visualization of Large Cosmological Datasets

Niko Lukac

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Tags: ATI, ATI Radeon HD 5750, Computer science, Cosmology, OpenGL, Rendering, Visualization

November 18, 2011 by hgpu

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

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

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

Tsuyoshi Hamada, Khaled Benkrid, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, Cosmology, FPGA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2, Physics

April 8, 2011 by hgpu

Scaling Hierarchical N-body Simulations on GPU Clusters

Pritish Jetley, Lukasz Wesolowski, Filippo Gioachin, Laxmikant V. Kale, Thomas R. Quinn

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Physics, Tesla S1070

April 7, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

A new gravitational N-body simulation algorithm for investigation of cosmological chaotic advection

Optimising Cosmological N-body Simulations in GPU Clusters

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Particle-based Visualization of Large Cosmological Datasets

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

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

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

Scaling Hierarchical N-body Simulations on GPU Clusters

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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