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Fast Antenna Characterization Using the Sources Reconstruction Method on Graphics Processors

J. A. Lopez-Fernandez, M. Lopez-Portugues, Y. Alvarez, C. Garcia, D. Martinez-Alvarez, F. Las-Heras

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 460

March 21, 2012 by hgpu

On the Use of Small 2D Convolutions on GPUs

Shams A.H. Al Umairy, Alexander S. van Amesfoort, Irwan D. Setija, Martijn C. van Beurden, Henk J. Sips

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Tags: Computer science, CUDA, Electrodynamics, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Physics, Tesla C1060

March 15, 2012 by hgpu

Acceleration of Solving Maxwell’s Equations Using Cluster of GPUs

E. Arianyan, S. A. Motamedi, M. Hekmatpanah, I. Arianyan

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Tags: Algorithms, CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8400 GS

March 10, 2012 by hgpu

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

A. Shahmansouri, B. Rashidian

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480

March 2, 2012 by hgpu

Fast Multipole Methods and High Performance Computing

Cristopher Ratkevich Cecka

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, Package, Tesla C1060, Tesla C2050, Thesis

February 26, 2012 by hgpu

CUDA Implementation in the EM Scattering of a Three-Layer Canopy

W.-Q. Jiang, M. Zhang, H. Chen, Y.-G. Lu

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 460

February 23, 2012 by hgpu

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

Dau-Chyrh Chang, Shao-Hsiang Yen, Xiaoling Yang, Lihong Zhang, Wenhua Yu

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

January 19, 2012 by hgpu

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

V. Demir

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

January 10, 2012 by hgpu

Acceleration of real-life stencil codes on GPUs

Youcef Barigou

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Tags: Algorithms, Computer science, CUDA, Differential equations, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, Optimization

January 2, 2012 by hgpu

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

P. C. Gao, Y. B. Tao, Z. H. Bai, H. Lin

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Tags: CUDA, Electrodynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

December 31, 2011 by hgpu

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

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

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

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

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

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