high performance computing on graphics processing units: hgpu.org

Acceleration of TM cylinder EFIE with CUDA

Tyler Killian, Daniel L. Faircloth, Sadasiva M. Rao

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Field equations, nVidia, nVidia GeForce 8800 GT, nVidia Quadro FX 770 M, nVidia Quadro NVS 140 M, Physics

September 1, 2011 by hgpu

FastMag: Fast micromagnetic simulator for complex magnetic structures

R. Chang, S. Li, M. V. Lubarda, B. Livshitz, V. Lomakin

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Tags: CUDA, Electromagnetics simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Physics, Tesla C1060, Tesla C2070

August 31, 2011 by hgpu

Partial wave analysis at BES III harnessing the power of GPUs

Niklaus Berger

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Tags: ATI Radeon HD 4870, Brook, High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Partial Wave Analysis using Graphics Cards

Niklaus Berger

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Tags: High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

An efficient GPU-based time domain solver for the acoustic wave equation

Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha

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Tags: Acoustics, Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, Visualization, Wave equation

August 25, 2011 by hgpu

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

C. Alexandrou, K. Hadjiyiannakou, G. Koutsou, A. 'O Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Nuclear Theory, nVidia, Physics

August 12, 2011 by hgpu

In-process optical characterization method for sub-100-nm nanostructures

S. Kiess, M.Z. Shaikh, M. Gregoire, T. Bringewat, S. Simon, A. Tausendfreund, M. Zimmermann, G. Goch

Tags: Algorithms, Mesoscale and Nanoscale Physics, Optics, Physics

August 9, 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

Multi-scale modeling of nano scale phenomenon using CUDA based HPC setup

Rohit Pathak, Satyadhar Joshi

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Tags: Algorithms, CUDA, Mesoscale and Nanoscale Physics, nVidia, Physics

August 2, 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

Computational wave optics library for C++: CWO++ library

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 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

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration of TM cylinder EFIE with CUDA

FastMag: Fast micromagnetic simulator for complex magnetic structures

Partial wave analysis at BES III harnessing the power of GPUs

Partial Wave Analysis using Graphics Cards

An efficient GPU-based time domain solver for the acoustic wave equation

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

In-process optical characterization method for sub-100-nm nanostructures

Reconstruction and visualization of planetary nebulae

Constrained inverse volume rendering for planetary nebulae

Multi-scale modeling of nano scale phenomenon using CUDA based HPC setup

A 3D radiative transfer framework: XIII. OpenCL implementation

Computational wave optics library for C++: CWO++ library

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

Most viewed papers (last 30 days)