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A short guide to CUDA C: For physicists with multi-core graphics cards

David Plotzki

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Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Package, Physics, Tesla C1060, Tutorial

October 19, 2012 by hgpu

Kinetics of liquid-solid phase transition in large nickel clusters

Alexander V. Yakubovich, Gennady Sushko, Stefan Schramm, Andrey V. Solov'yov

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, Mesoscale and Nanoscale Physics, Molecular dynamics, OpenCL, Phase transition, Physics, Solidification

October 15, 2012 by hgpu

Real-Time Use of GPUs in NA62 Experiment

Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi

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Tags: CUDA, Data acquisition, nVidia, nVidia GeForce GTX 680, Pattern recognition, Physics, Tesla C2050

October 14, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

GPU-based infrared thermography for NDE of minefields

F.Pardo, P.Lopez, D. Cabello

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Tags: CUDA, nVidia, nVidia GeForce GTS 250, Physics, Thermodynamics

October 3, 2012 by hgpu

Nonperturbative Quantum Field Theory in Astrophysics

Daniel Paul Mazur

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Tags: Astrophysics, CUDA, Gravitation, High Energy Astrophysical Phenomena, nVidia, Physics, Tesla C1060, Thesis

September 30, 2012 by hgpu

Lattice QCD based on OpenCL

Matthias Bach, Volker Lindenstruth, Owe Philipsen, Christopher Pinke

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Physics, QCD

September 27, 2012 by hgpu

GPU in Physics Computation: Case Geant4 Navigation

Otto Seiskari, Jukka Kommeri, Tapio Niemi

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 470, Physics

September 25, 2012 by hgpu

Charged particles constrained to a curved surface

Thomas Muller, Jorg Frauendiener

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Tags: CUDA, Electrostatics, nVidia, OpenGL, Package, Physics

September 20, 2012 by hgpu

Gauge fixing using overrelaxation and simulated annealing on GPUs

Mario Schrock, Hannes Vogt

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Tags: Algorithms, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 580, Physics, Probability

September 19, 2012 by hgpu

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold

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Tags: CUDA, Data acquisition, Microscopy, nVidia, Optics, Physics, Soft Condensed Matter, Tesla C2050

September 18, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 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_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

See all packages

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high performance computing on graphics processing units: hgpu.org

A short guide to CUDA C: For physicists with multi-core graphics cards

Kinetics of liquid-solid phase transition in large nickel clusters

Real-Time Use of GPUs in NA62 Experiment

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

GPU-based infrared thermography for NDE of minefields

Nonperturbative Quantum Field Theory in Astrophysics

Lattice QCD based on OpenCL

GPU in Physics Computation: Case Geant4 Navigation

Charged particles constrained to a curved surface

Gauge fixing using overrelaxation and simulated annealing on GPUs

Quasi-real-time analysis of dynamic near field scattering data using a graphics processing unit

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Recent source codes

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

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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