high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Electrodynamics

FSAI preconditioned CG algorithm combined with GPU technique for the finite element analysis of electromagnetic scattering problems

K. Xu, D. Z. Ding, Z. H. Fan, R. S. Chen

Tags: Conjugate gradient solver, Electrodynamics, Finite element method, Sparse matrix

January 14, 2011 by hgpu

CUDA-Based Radiative Transfer Method with Application to the EM Scattering from a Two-Layer Canopy Model

W.-Q. Jiang, M. Zhang, Y. Wang

Tags: CUDA, Electrodynamics, nVidia, nVidia GeForce GTS 250

January 10, 2011 by hgpu

Programming video cards for computational electromagnetics applications

M. J. Inman, A. Z. Elsherbeni

Tags: Electrodynamics

December 1, 2010 by hgpu

Fast evaluation of Helmholtz potential on graphics processing units (GPUs)

Shaojing Li, Boris Livshitz, Vitaliy Lomakin

Tags: Electrodynamics, Integral equations

November 18, 2010 by hgpu

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 13, 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

Magnetohydrodynamics simulations on graphics processing units

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 6, 2010 by hgpu

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

S. Adams, J. Payne, R. Boppana

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Tags: Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, OpenGL

November 5, 2010 by hgpu

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

M. Woolsey, W. E. Hutchcraft, R. K. Gordon

Tags: Electrodynamics, Electromagnetics simulation, Finite element method, Physics

November 4, 2010 by hgpu

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

S. E. Krakiwsky, L. E. Turner, M. M. Okoniewski

Tags: Electrodynamics, FDTD, Finite-difference time-domain, Microwave engineering, OpenGL, Optics

November 2, 2010 by hgpu

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Applications

FSAI preconditioned CG algorithm combined with GPU technique for the finite element analysis of electromagnetic scattering problems

CUDA-Based Radiative Transfer Method with Application to the EM Scattering from a Two-Layer Canopy Model

Programming video cards for computational electromagnetics applications

Fast evaluation of Helmholtz potential on graphics processing units (GPUs)

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Magnetohydrodynamics simulations on graphics processing units

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

Recent source codes

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

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