high performance computing on graphics processing units: hgpu.org

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Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Xun Jia, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C1060

November 13, 2010 by hgpu

Air pollution modelling using a graphics processing unit with CUDA

Ferenc Molnar Jr., Tamas Szakaly, Robert Meszaros, Istvan Lagzi

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Source codes

Tags: Computational Physics, CUDA, Earth and Space Sciences, Medical Physics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Package, Physics

November 13, 2010 by hgpu

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

Xun Jia, Yifei Lou, John Lewis, Ruijiang Li, Xuejun Gu, Chunhua Men, William Y. Song, Steve B. Jiang

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medical Physics, nVidia, Physics, Tesla C1060

November 13, 2010 by hgpu

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

Xun Jia, Yifei Lou, Ruijiang Li, William Y. Song, Steve B. Jiang

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Tags: CT, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Tesla C1060

November 12, 2010 by hgpu

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Chunhua Men, Xun Jia, Steve. B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060

November 12, 2010 by hgpu

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang

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Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 12, 2010 by hgpu

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Chunhua Men, H. Edwin Romeijn, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 11, 2010 by hgpu

A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations

Pablo P Yepes, Dragan Mirkovic, Phillip J Taddei

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, Nuclear Experiment, nVidia, nVidia GeForce GTX 295, Physics, Proton radiotherapy

November 10, 2010 by hgpu

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

Xun Jia, Bin Dong, Yifei Lou, Steve B. Jiang

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Tags: Computed tomography, CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

Zhen Tian, Xun Jia, Steve B. Jiang

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Tags: Computed tomography, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Zhen Tian, Xun Jia, Kehong Yuan, Tinsu Pan, Steve B. Jiang

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Tags: Computed tomography, CT, CUBLAS, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 9, 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

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Air pollution modelling using a graphics processing unit with CUDA

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

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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