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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

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

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

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

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

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

Asynchronous-Many-Task Systems: Challenges and Opportunities – Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX

TorchQC: Quantum Dynamics and Machine Learning

TorchQC – A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control

Matrix multiplication using Tensor Cores in CUDA

Utilizing Tensor Cores in Futhark

CPP Joules: Energy Measurement tool for CPP/CUDA programs

CPPJoules: An Energy Measurement Tool for C++

HPC-Coder-v2

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages

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