high performance computing on graphics processing units: hgpu.org

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Chunhua Men, Xun Jia, Steve. B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060

November 12, 2010 by hgpu

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang

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Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 12, 2010 by hgpu

Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Qingang Xiong, Guofeng Zhou, Bo Li, Ji Xua, Xiaojian Fang, Junwu Wang, Xianfeng He, Xiaowei Wang, Limin Wang, Wei Ge, Jinghai Li

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Tesla C2050

November 12, 2010 by hgpu

Improved automated lattice perturbation theory in background field gauge

T.C. Hammant, R.R. Horgan, C.J. Monahan, A.G. Hart, E.H. Muller, A. Gray, K. Sivalingham, G.M. von Hippel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C2050

November 12, 2010 by hgpu

Simulation of reaction-diffusion processes in three dimensions using CUDA

Ferenc Molnar Jr., Ferenc Izsak, Robert Meszaros, Istvan Lagzi

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 275, Pattern formation, Physics

November 11, 2010 by hgpu

High-performance astrophysical visualization using Splotch

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

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

November 11, 2010 by hgpu

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

CUDA simulations of active dumbbell suspensions

Victor Putz, Jorn Dunkel, Julia M. Yeomans

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Soft Condensed Matter, Tesla C1060

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

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Chunhua Men, H. Edwin Romeijn, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Physics, 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

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Kyle A. Wendt, Joaquin E. Drut, Timo A. Lahde

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla C1060

November 11, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Improved automated lattice perturbation theory in background field gauge

Simulation of reaction-diffusion processes in three dimensions using CUDA

High-performance astrophysical visualization using Splotch

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

CUDA simulations of active dumbbell suspensions

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

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

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

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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