high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Jonas Tolke

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Tags: Computer science, CUDA, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 Ultra

November 23, 2010 by hgpu

Efficient Probabilistic Model Checking on General Purpose Graphics Processors

Dragan Bosnacki, Stefan Edelkamp, Damian Sulewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Probabilistic model checking

November 23, 2010 by hgpu

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 23, 2010 by hgpu

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb

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Tags: Computed tomography, CT, CUDA, Image processing, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280, Rendering

November 23, 2010 by hgpu

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

Taek-Hee Lee, Jeongjin Lee, Ho Lee, Heewon Kye, Yeong G. Shin, Soo H. Kim

Tags: Computed tomography, CT, Image processing, Medicine, Tomography

November 23, 2010 by hgpu

hiCUDA: a high-level directive-based language for GPU programming

Tianyi D. Han, Tarek S. Abdelrahman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

November 23, 2010 by hgpu

Acceleration of a QM/MM-QMC simulation using GPU

Tomoharu Terashima, Ryo Maezono

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 275, Physics, QMC

November 23, 2010 by hgpu

GPU-based cone beam computed tomography

Peter B. Noel, Alan M. Walczak, Jinhui Xu, Jason J. Corso, Kenneth R. Hoffmann, Sebastian Schafer

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

Efficient and Accurate Sound Propagation Using Adaptive Rectangular Decomposition

Nikunj Raghuvanshi, Rahul Narain, Ming C. Lin

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Tags: Computational acoustics, Computer science, FDTD, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

3D nonrigid registration via optimal mass transport on the GPU

Tauseef Rehman, Eldad Haber, Gallagher Pryor, John Melonakos, Allen Tannenbaum

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Tags: Cg, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX, OpenGL

November 22, 2010 by hgpu

vCUDA: GPU accelerated high performance computing in virtual machines

Lin Shi, Hao Chen, Jianhua Sun

Tags: Computer science, Virtualization

November 22, 2010 by hgpu

Optimal rotation alignment of 3D objects using a GPU-based similarity function

Michael Martinek, Roberto Grosso

Tags: Computer science, Optimization, Rotation alignment, Search

November 22, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Efficient Probabilistic Model Checking on General Purpose Graphics Processors

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

hiCUDA: a high-level directive-based language for GPU programming

Acceleration of a QM/MM-QMC simulation using GPU

GPU-based cone beam computed tomography

Efficient and Accurate Sound Propagation Using Adaptive Rectangular Decomposition

3D nonrigid registration via optimal mass transport on the GPU

vCUDA: GPU accelerated high performance computing in virtual machines

Optimal rotation alignment of 3D objects using a GPU-based similarity function

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)