high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Domain Decomposition method on GPU cluster

Yusuke Osaki, Ken-Ichi Ishikawa

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mathematical Software, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, OpenMPI, Physics, QCD

November 16, 2010 by hgpu

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

Grand R. Joldes, Adam Wittek, Karol Miller

Tags: CUDA, Medicine, nVidia, Surgical simulation

November 16, 2010 by hgpu

Illustrative Volume Visualization Using GPU-Based Particle Systems

Roy van Pelt, Anna Vilanova, Huub van de Wetering

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Visualization

November 16, 2010 by hgpu

GPU-based smart visibility techniques for tumor surgery planning

Christoph Kubisch, Christian Tietjen, Bernhard Preim

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Tags: Cg, Medicine, nVidia, nVidia GeForce 9600 GT, OpenGL, Rendering, Visualization

November 16, 2010 by hgpu

GPU rendering for tiled multi-projector autostereoscopic display based on chromium

Jianli Luo, Kaihuai Qin, Yanxia Zhou, Miao Mao, Ruirui Li

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 9600 GT, OpenGL, Rendering

November 16, 2010 by hgpu

Multi-scale neural texture classification using the GPU as a stream processing engine

M. Martinez-Zarzuela, F. Diaz-Pernas, M. Anton-Rodriguez, J. Diez-Higuera, D. Gonzalez-Ortega, D. Boto-Giralda, F. Lopez-Gonzalez, I. De La Torre

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Tags: Cg, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Texture detection

November 16, 2010 by hgpu

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

Bormin Huang, Jarno Mielikainen, Hyunjong Oh, Hung-Lung A. Huang

Tags: CUDA, Earth and Space Sciences, nVidia

November 16, 2010 by hgpu

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning

Ali Cevahir, Akira Nukada, Satoshi Matsuoka

Tags: Computer science, Conjugate gradient solver, CUDA, GPU cluster, nVidia

November 16, 2010 by hgpu

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

Markus Moll, Hsiao-Wei Tang, Luc Van Gool

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Tags: Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX

November 16, 2010 by hgpu

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Jayram Moorkanikara M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 13, 2010 by hgpu

Graphic processors to speed-up simulations for the design of high performance solar receptors

Sylvain Collange, Marc Daumas, David Defour

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Source codes

Tags: ATI, ATI Radeon RX 1800 XL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Optics, Package, Physics

November 13, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Unit I: An implementation in Cg

Simon Portegies Zwart, Robert Belleman, Peter Geldof

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Tags: Astrophysics, Cg, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 1400

November 13, 2010 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

Domain Decomposition method on GPU cluster

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

Illustrative Volume Visualization Using GPU-Based Particle Systems

GPU-based smart visibility techniques for tumor surgery planning

GPU rendering for tiled multi-projector autostereoscopic display based on chromium

Multi-scale neural texture classification using the GPU as a stream processing engine

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Graphic processors to speed-up simulations for the design of high performance solar receptors

High Performance Direct Gravitational N-body Simulations on Graphics Processing Unit I: An implementation in Cg

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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