high performance computing on graphics processing units: hgpu.org

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A graphics processor-based intranuclear cascade and evaporation simulation

H. Wan Chan Tseung, C. Beltran

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics

October 2, 2013 by hgpu

Evaluation of disconnected quark loops for hadron structure using GPUs

C. Alexandrou, M. Constantinou, V. Drach, K. Hadjiyiannakou, K. Jansen, G. Koutsou, A. Strelchenko, A. Vaquero

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Tags: CUDA, High Energy Physics - Lattice, Nuclear Theory, nVidia, Physics, Tesla M2070

September 29, 2013 by hgpu

The density matrix renormalization group algorithm on kilo-processor architectures: implementation and trade-offs

Csaba Nemes, Gergely Barcza, Zoltan Nagy, Ors Legeza, Peter Szolgay

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Tags: Algorithms, Condensed matter, CUDA, FPGA, Numerical Analysis, nVidia, nVidia GeForce GTX 570, Physics, Tesla K20

September 25, 2013 by hgpu

Preconditioned conjugate gradient solver for structural problems

Xiangge Li

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Physics, Tesla M2070

September 20, 2013 by hgpu

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Davide Montanari, Enrica Scolari, Chiara Silvestri, Yan J. Graves, Hao Yan, Laura Cervino, Roger Rice, Steve B. Jiang, Xun Jia

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Tags: Computed tomography, CT, CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 590, Physics

September 20, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Source codes

Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba

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Source codes

Tags: Biomolecules, Boltzmann equation, Computational Physics, CUDA, Electrostatics, Intel Phi, nVidia, Package, Physics, Poisson Boltzmann, Python, Tesla C2075

September 17, 2013 by hgpu

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Kyle E Niemeyer, Chih-Jen Sung

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla C2075

September 13, 2013 by hgpu

Fast computation of computer-generated hologram using Xeon Phi coprocessor

Koki Murano, Tomoyoshi Shimobaba, Atsushi Sugiyama, Naoki Takada, Takashi Kakue, Minoru Oikawa, Tomoyoshi Ito

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Tags: Algorithms, Computational Physics, Computer holography, CUDA, Intel Phi, nVidia, Performance, Physics, Tesla K20

September 13, 2013 by hgpu

Coherent transport by adiabatic passage on atom chips

T. Morgan, L. J. O'Riordan, N. Crowley, B. O'Sullivan, Th. Busch

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Physics, Quantum Physics

September 11, 2013 by hgpu

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Christopher D. Marcotte, Roman O. Grigoriev

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Tags: Chaotic Dynamics, Computational Physics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 680, OpenCL, Partial differential equations, PDEs, Physics

September 9, 2013 by hgpu

Percolation study of samples on 2D lattices using GPUs

D.A. Matoz-Fernandez, P.M. Pasinetti, A.J. Ramirez-Pastor

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Tags: CUDA, Materials Science, Mathematics, nVidia, nVidia GeForce GTX 480, Physics

September 6, 2013 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 graphics processor-based intranuclear cascade and evaporation simulation

Evaluation of disconnected quark loops for hadron structure using GPUs

The density matrix renormalization group algorithm on kilo-processor architectures: implementation and trade-offs

Preconditioned conjugate gradient solver for structural problems

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Parallel Computing Methods For Particle Accelerator Design

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Fast computation of computer-generated hologram using Xeon Phi coprocessor

Coherent transport by adiabatic passage on atom chips

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Percolation study of samples on 2D lattices using GPUs

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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