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Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

Michelle Perry

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Tags: Bayesian, CUDA, High Energy Physics - Phenomenology, Neural networks, nVidia, nVidia GeForce GT 320 M, Physics, Tesla M2050

October 27, 2014 by hgpu

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

M. P. Wachowiak, B. B. Sarlo, A. E. Lambe Foster

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Tags: Computational Physics, CUDA, Heterogeneous systems, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 20, 2014 by hgpu

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Evan E. Schneider, Brant E. Robertson

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Tags: Astrophysics, Computational Physics, CUDA, Fluid dynamics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla K20

October 18, 2014 by hgpu

Parallel Programming and Compressed Material Data for an Eulerian Code

Matthew Thomas Calef, John Greaton Wohlbier

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Tags: CUDA, nVidia, OpenCL, Physics, Tesla M2090

October 16, 2014 by hgpu

FDTD on Distributed Heterogeneous Multi-GPU Systems

Eirik Myklebost

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Tags: Algorithms, Benchmarking, Cluster computing, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 760, Physics, Tesla K20, Thesis, Ultrasound

October 10, 2014 by hgpu

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

H. Wan Chan Tseung, J. Ma, C. Beltran

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Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Tesla K20

October 3, 2014 by hgpu

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Benjamin Brock, Andrew Belt, Jay Jay Billings, Mike Guidry

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Solar and Stellar Astrophysics, Tesla K20

September 23, 2014 by hgpu

GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

J. Spiechowicz, M. Kostur, L. Machura

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Tags: Computational Physics, CUDA, Differential equations, Monte Carlo integration, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Stochastic simulation

September 19, 2014 by hgpu

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Research on double negative materials by using FDTD method based on GPUs

Chen Shen, Xian-liang Wu

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, Materials Science, nVidia, nVidia GeForce GT 440, Physics

September 5, 2014 by hgpu

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, Swagato Mukherjee, M. Wagner

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Tags: Conjugate gradient solver, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Physics, QCD, Sparse matrix, Tesla K20, Tesla K40

September 5, 2014 by hgpu

CUDA method for the FDTD simulation by GPU

Wonhak Son

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Tags: CUDA, FDTD, Finite-difference time-domain, MPI, nVidia, nVidia GeForce GTX Titan, Physics, Thesis

September 4, 2014 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Parallel Programming and Compressed Material Data for an Eulerian Code

FDTD on Distributed Heterogeneous Multi-GPU Systems

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

Explicit Integration with GPU Acceleration for Large Kinetic Networks

GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Research on double negative materials by using FDTD method based on GPUs

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

CUDA method for the FDTD simulation by GPU

Recent source codes

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

Gaia AVU-GSR

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

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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