high performance computing on graphics processing units: hgpu.org

hgpu.org » 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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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