high performance computing on graphics processing units: hgpu.org

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FPGA accelerated 3D reconstruction using compressive sensing

Jianwen Chen, Jason Cong, Ming Yan, Yi Zou

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Tags: Algorithms, Computer science, CUDA, FPGA, Medicine, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tomography

February 12, 2012 by hgpu

Fast CT Image Processing using Parallelized Non-local Means

Hao Wu, Wenhua Zhang, Dazhi Gao, Xindao Yin, Yang Chen, Weidong Wang

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 465, Tomography

January 30, 2012 by hgpu

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Xun Jia, Zhen Tian, Yifei Lou, Jan-Jakob Sonke, Steve B. Jiang

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

January 17, 2012 by hgpu

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Marcin Sylwestrzak, Daniel Szlag, Maciej Szkulmowski, Piotr Targowski

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Tags: CUDA, Data acquisition, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Tomography

January 11, 2012 by hgpu

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 2012 by hgpu

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Phillip J. Kinsman

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Tags: Algorithms, Computed tomography, CT, CUDA, FPGA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Thesis, Tomography

January 3, 2012 by hgpu

High Quality Cone-beam CT Reconstruction on the GPU

Gabor Jakab, Attila Racz, Kalman Nagy

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

January 1, 2012 by hgpu

Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography

Ryuta Mizutani, Akihisa Takeuchi, Kentaro Uesugi, Susumu Takekoshi, Naoya Nakamura, Yoshio Suzuki

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Source codes

Tags: Biology, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 470, Package, Tomography

December 30, 2011 by hgpu

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Kang Zhang, Yong Huang, Gustavo Pradilla, Betty Tyler, Jin U. Kang

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Tomography, Visualization

December 10, 2011 by hgpu

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Kang Zhang, Jin U. Kang

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Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Rendering, Signal processing, Tomography, Visualization

December 10, 2011 by hgpu

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

Jianwen Chen, Ming Yan, Luminita A. Vese, John Villasenor, Alex Bui, Jason Cong

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, Tesla C1060, Tomography

December 3, 2011 by hgpu

High-performance Blob-based iterative reconstruction of electron tomography on multi-GPUs

Xiaohua Wan, Fa Zhang, Qi Chu, Zhiyong Liu

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Tags: Biology, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 295, OpenMP, Tomography

November 15, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

FPGA accelerated 3D reconstruction using compressive sensing

Fast CT Image Processing using Parallelized Non-local Means

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

High Quality Cone-beam CT Reconstruction on the GPU

Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

High-performance Blob-based iterative reconstruction of electron tomography on multi-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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