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hgpu.org » Applications » Physics » Astrophysics

Calculation of Stochastic Heating and Emissivity of Cosmic Dust Grains with Optimization for the Intel Many Integrated Core Architecture

Troy A. Porter, Andrey E. Vladimirov

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Tags: Astrophysics, Heterogeneous systems, Instrumentation and Methods for Astrophysics, Intel Xeon Phi

December 29, 2013 by hgpu

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

P. Berczik, R. Spurzem, L. Wang, S. Zhong, O. Veles, I. Zinchenko, S. Huang, M. Tsai, G. Kennedy, S. Li, L. Naso, C. Li

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Package, Tesla C2050, Tesla K20

December 9, 2013 by hgpu

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

James S. Willis

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Tags: Astrophysics, CUDA, Fortran, GPU cluster, nVidia, Tesla C2050, Thesis

November 25, 2013 by hgpu

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

Carlos Couder-Castaneda, Carlos Ortiz-Aleman, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

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Tags: Astrophysics, CUDA, Gravitation, MPI, nVidia, OpenMP, Tesla C2070

November 23, 2013 by hgpu

A new GPU-accelerated hydrodynamical code for numerical simulation of interacting galaxies

Igor Kulikov

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, Laplace and Poisson equation, MPI, Numerical simulation, nVidia, Poisson equation

November 6, 2013 by hgpu

N-Body Simulation Using GP-GPU: Evaluating Host/Device Memory Transference Overhead

Sergio M. Martin, Fernando G. Tinetti, Nicanor B. Casas, Graciela E. De Luca, Daniel A. Giulianelli

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Tags: Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 550 Ti, Physics

November 3, 2013 by hgpu

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

Alexander Moore

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Package, Thesis

October 27, 2013 by hgpu

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Michael S. Warren

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Tags: Algorithms, Astrophysics, Cosmology, CUDA, Fast multipole method, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Tesla K20, Tesla M2090

October 22, 2013 by hgpu

Direct deconvolution of radio synthesis images using L1 minimisation

Stephen J. Hardy

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Tags: Astrophysics, CUDA, Image reconstruction, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2050

October 10, 2013 by hgpu

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

Prashanth Jaikumar

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Tags: Astrophysics, Gravitation, OpenCL, Thesis

September 13, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

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

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

The discrete dipole approximation code DDscat.C++: features, limitations and plans

V. Ya. Choliy

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Tags: Astrophysics, CUDA, Fortran, nVidia, nVidia GeForce GTX 260, Package

September 4, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Calculation of Stochastic Heating and Emissivity of Cosmic Dust Grains with Optimization for the Intel Many Integrated Core Architecture

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

Investigating the use of GPUs with a Monte Carlo Astrophysical Simulation

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

A new GPU-accelerated hydrodynamical code for numerical simulation of interacting galaxies

N-Body Simulation Using GP-GPU: Evaluating Host/Device Memory Transference Overhead

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Direct deconvolution of radio synthesis images using L1 minimisation

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

GPU Accelerated Particle Visualization with Splotch

The discrete dipole approximation code DDscat.C++: features, limitations and plans

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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