high performance computing on graphics processing units: hgpu.org

Jorge Frances Monllor, Sergio Bleda Perez, Sergi Gallego Rico, Cristian Neipp Lopez, Andres Marquez Ruiz, Inmaculada Pascual Villalobos, Augusto Belendez Vazquez

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Tags: CUDA, Electrodynamics, Electrostatic potential, Electrostatics, FDTD, FEM, Finite element method, Finite-difference time-domain, nVidia, nVidia GeForce GTX 470

December 13, 2011 by hgpu

Computer Finit-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Anna Bonet Manchado

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Tags: Algorithms, CUDA, Data parallelism, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8800 GTX, Thesis, Visualization

December 9, 2011 by hgpu

Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver

J.I. Toivanen, T.P. Stefanski, N. Kuster, N. Chavannes

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Tags: Benchmarking, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C1060

December 3, 2011 by hgpu

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

K.H. Lee, I. Ahmed, R.S.M. Goh, E.H. Khoo, E.P. Li, T.G.G. Hung

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Tags: CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, Tesla C2050

December 2, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

A High-Performance Parallel FDTD Method Enhanced by Using SSE Instruction Set

Accelerating the FDTD Method Using SSE and Graphics Processing Units

Acceleration of Solving Maxwell’s Equations Using Cluster of GPUs

GPU Implementation of Split-Field Finite-Difference Time-Domain Method for Drude-Lorentz Dispersive Media

Scientific Computation on Graphics Processing Unit using CUDA

A High Performance Parallel FDTD Method Enhanced By Using SSE Instruction Set

Graphics Processor Unit (GPU) Acceleration of Finite-Difference Frequency-Domain (FDFD) Method

Acceleration of real-life stencil codes on GPUs

Development of an unified FDTD-FEM library for electromagnetic analysis with CPU and GPU computing

Computer Finit-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Comparison of CPML Implementations for the GPU-Accelerated FDTD Solver

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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