high performance computing on graphics processing units: hgpu.org

Applications

GPGPU opportunities for the LHCb trigger

Alexey Badalov, Daniel Campora, Gianmaria Collazuol, Marco Corvo, Stefano Gallorini, Alessio Gianelle, Elisabet Golobardes, Donatella Lucchesi, Anna Lupato, Niko Neufeld, Lorenzo Sestini, Rainer Schwemmer, Xavier Vilasis-Cardona

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Particle physics and field theory, Physics

June 6, 2014 by hgpu

Adventures in the microlensing cloud: large datasets, eResearch tools, and GPUs

Georgios Vernardos, Christopher J Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla C2070, Tesla M2090

June 5, 2014 by hgpu

A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms

Huda Ibeid, Rio Yokota, David Keyes

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Fast multipole method, Molecular dynamics, N-body simulation, nVidia, Physics, Tesla K20

June 1, 2014 by hgpu

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

M. Ploschner, B. Straka, K. Dholakia, T. Cizmar

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Source codes

Tags: Computer holography, CUDA, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Optics, Package, Physics

May 25, 2014 by hgpu

Relativistic hydrodynamics on graphics processing units

Jan Sikorski, Sebastian Cygert, Joanna Porter-Sobieraj, Marcin Slodkowski, Piotr Krzyzanowski, Natalia Ksiazek, Przemyslaw Duda

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Tags: CUDA, hydrodynamics, Nuclear physics, nVidia, Physics

May 18, 2014 by hgpu

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Jan Christian Meyer

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Tags: CUDA, Fluid dynamics, nVidia, Physics, Tesla K20

May 16, 2014 by hgpu

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Qi Xu, Gang-Lin Yu, Kan Wang, Jia-Long Sun

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Tags: CUDA, Diffusion equation, Finite difference, Nuclear physics, nVidia, nVidia GeForce GTX Titan, Physics

May 14, 2014 by hgpu

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Claas Abert, Gregor Wautischer, Florian Bruckner, Armin Satz, Dieter Suess

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Tags: Computational Physics, CUDA, Electrodynamics, Finite difference, nVidia, Package, Physics, Python

May 14, 2014 by hgpu

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

Simon Candelaresi, David Pontin, Gunnar Hornig

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce GTX 765, Physics, Plasma physics

May 6, 2014 by hgpu

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

Ramin Mafi

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Tags: CUDA, FEM, Finite element method, Image registration, nVidia, nVidia GeForce GTX 470, Physics, Surgical simulation, Thesis

May 5, 2014 by hgpu

GPU-accelerated ray-tracing for real-time treatment planning

H. Heinrich, P. Ziegenhein, C. P. Kamerling, H. Froening, U. Oelfke

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Tags: Algorithms, CUDA, nVidia, Physics, Radiotherapy, Raytracing, Tesla K20

May 3, 2014 by hgpu

A GPU Accelerated Simulator for CO2 Storage

Elisabeth K Prestegard

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Tags: Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GT 218, Physics, Thesis

April 29, 2014 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

Applications

GPGPU opportunities for the LHCb trigger

Adventures in the microlensing cloud: large datasets, eResearch tools, and GPUs

A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

Relativistic hydrodynamics on graphics processing units

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Mimetic Methods for Lagrangian Relaxation of Magnetic Fields

GPU-based Parallel Computing for Nonlinear Finite Element Deformation Analysis

GPU-accelerated ray-tracing for real-time treatment planning

A GPU Accelerated Simulator for CO2 Storage

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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