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Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

November 11, 2010 by hgpu

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Dominique Aubert, Romain Teyssier

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

November 11, 2010 by hgpu

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Alexander Moore, Alice C. Quillen

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Tags: Astrophysics, Celestial mechanics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package

November 10, 2010 by hgpu

Interactive Visualization of the Largest Radioastronomy Cubes

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

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 285

November 10, 2010 by hgpu

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell, Amr H. Hassan

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Tags: Astrophysics, ATI, ATI Radeon HD 5970, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GT, OpenCL, Tesla C1060

November 10, 2010 by hgpu

Direct N-body simulations of globular clusters: (I) Palomar 14

Akram Hasani Zonoozi, Andreas H.W. Kuepper, Holger Baumgardt, Hosein Haghi, Pavel Kroupa, Michael Hilker

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Tags: Astrophysics, Galaxy Astrophysics, Globular clusters, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 280

November 9, 2010 by hgpu

An Exploration of OpenCL for a Numerical Relativity Application

Niket K. Choudhary, Rakesh Ginjupalli, Sandeep Navada, Gaurav Khanna

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Computational Physics, General Relativity and Quantum Cosmology, nVidia, OpenCL, OpenMP, Tesla C2050

November 9, 2010 by hgpu

Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units

R. H. D. Townsend

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Solar and Stellar Astrophysics, Tesla C1060

November 9, 2010 by hgpu

The Chamomile Scheme: An Optimized Algorithm for N-body simulations on Programmable Graphics Processing Units

Tsuyoshi Hamada, Toshiaki Iitaka

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Stellar dynamics

November 9, 2010 by hgpu

Spherical harmonic transform with GPUs

Ioan O. Hupca, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Astrophysics, Computer science, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480

November 9, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

Jeroen Bedorf

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Tags: Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Package, Stellar dynamics

November 9, 2010 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

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

MYRIAD: A new N-body code for simulations of Star Clusters

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Interactive Visualization of the Largest Radioastronomy Cubes

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

Direct N-body simulations of globular clusters: (I) Palomar 14

An Exploration of OpenCL for a Numerical Relativity Application

Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units

The Chamomile Scheme: An Optimized Algorithm for N-body simulations on Programmable Graphics Processing Units

Spherical harmonic transform with GPUs

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

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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