high performance computing on graphics processing units: hgpu.org

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

GPU accelerated Monte Carlo simulations of lattice spin models

Martin Weigel, Taras Yavors'kii

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Source codes

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

July 28, 2011 by hgpu

Computation of electron quantum transport in graphene nanoribbons using GPU

S. Ihnatsenka

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Tags: Computational Physics, CUDA, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce 8800, Physics, Tesla C1060

July 27, 2011 by hgpu

Mapping the Arnold web with a GPU-supercomputer

A. Seibert, S. Denisov, Alexey V. Ponomarev, P. Hanggi

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Tags: Chaotic Dynamics, Computational Physics, CUDA, Nonlinear Sciences, nVidia, Physics, Tesla M2050

July 22, 2011 by hgpu

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Alessandra Campos, J. Pecanha, Patricia Pampanelli, Rafael de Almeida, Marcelo Lobosco, Marcelo Vieira, Socrates de O. Dantas

Tags: Computational Physics, Heisenberg model, Mesoscale and Nanoscale Physics, Monte Carlo simulation, Physics

July 22, 2011 by hgpu

Massively parallelized replica-exchange simulations of polymers on GPUs

Jonathan Gross, Wolfhard Janke, Michael Bachmann

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Tags: Biomolecules, Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Polymer Systems, Tesla C1060

July 19, 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_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

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high performance computing on graphics processing units: hgpu.org

Fast Multipole Method vs. Spectral Method for the Simulation of Isotropic Turbulence on GPUs

GPU-based single-cluster algorithm for the simulation of the Ising model

Connected-component identification and cluster update on graphics processing units

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

Scaling Lattice QCD beyond 100 GPUs

A novel and scalable Multigrid algorithm for many-core architectures

Computational wave optics library for C++: CWO++ library

GPU accelerated Monte Carlo simulations of lattice spin models

Computation of electron quantum transport in graphene nanoribbons using GPU

Mapping the Arnold web with a GPU-supercomputer

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Massively parallelized replica-exchange simulations of polymers on 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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