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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

Solving the Boltzmann equation on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, Fluid dynamics, nVidia, nVidia GeForce GTX 260, Particle simulation

January 18, 2012 by hgpu

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, Physics

January 8, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 2012 by hgpu

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Gennadiy Nikishkov, Yohei Nishidate

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Tags: CUDA, Differential equations, Finite difference, Fluid dynamics, nVidia, nVidia Quadro FX 3800, Wave equation

December 14, 2011 by hgpu

High performance computing for linear acoustic wave simulation

Fouad Butt

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Tags: Acoustics, Finite difference, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Physics

December 13, 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

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

Shenyi Song, Tingxing Dong, Yichen Zhou, David A. Yuen, Zhonghua Lu

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Tags: CUDA, Earth and Space Sciences, Finite difference, MPI, nVidia, OpenMPI, Seismic modeling, Tesla C1060

November 25, 2011 by hgpu

High Rayleigh Number Mantle Convection on GPU

David A. Sanchez, Christopher Gonzalez, David A. Yuen, Grady B. Wright, Gregory A. Barnett

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Tags: CUBLAS, CUDA, Earth and Space Sciences, Finite difference, nVidia, Tesla C2070

November 25, 2011 by hgpu

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

D.N. Morozov, B.N. Chetverushkin, N.G. Churbanova, M.A. Trapeznikova

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295, Package

November 24, 2011 by hgpu

Scalable Simulation of 3D Wave Propagation in Semi-Infinite Domains Using the Finite Difference Method on a GPU Based Cluster

Thales Luis Rodrigues Sabino, Marcelo Zamith, Diego Brandao, Anselmo Montenegro, Esteban Clua, Maurcio Kischinhevksy, Regina C.P. Leal-Toledo, Otton T. Silveira Filho, Andre Bulcao

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Tags: Acoustics, CUDA, Earth and Space Sciences, Finite difference, nVidia, Tesla C1060

November 24, 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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