high performance computing on graphics processing units: hgpu.org

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Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

Pawel Kapusta, Michal Majchrowicz, Dominik Sankowski, Lidia Jackowska-Strumillo, Robert Banasiak

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Tags: ATI, ATI Radeon HD 5970, FEM, Finite element method, Heterogeneous systems, Image processing, Image reconstruction, Linear Algebra, Medicine, nVidia, Tesla C2070, Tesla S1070, Tomography

February 9, 2013 by hgpu

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

V. Galiano, O. Lopez-Granado, M.P. Malumbres, H. Migallon

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Optimization, Wavelet

February 9, 2013 by hgpu

Parallel k-Means Image Segmentation Using Sort, Scan & Connected Components on a GPU

Michael Backer, Jan Tunnermann, Barbel Mertsching

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 580

February 6, 2013 by hgpu

Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images

Sidi Ahmed Mahmoudi, Fabian Lecron, Pierre Manneback, Mohammed Benjelloun and Said Mahmoudi

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Tags: CUDA, Heterogeneous systems, Image processing, nVidia, Task scheduling

February 1, 2013 by hgpu

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim

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Tags: CUDA, Data acquisition, Image processing, nVidia, nVidia GeForce GTX 550 Ti, Raytracing, Sensing, Visualization

January 24, 2013 by hgpu

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

Cheng-Ying Chou, Yun Dong, Yukai Hung, Yu-Jiun Kao, Weichung Wang, Chien-Min Kao, Chin-Tu Chen

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tesla C2070, Tomography

January 20, 2013 by hgpu

GPU-accelererated regularisation of large diffusion-tensor volumes

Tuomo Valkonen, Manfred Liebmann

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Tags: Algorithms, Diffusion tensor, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2070

January 18, 2013 by hgpu

Massively parallelizable list-mode reconstruction using a Monte Carlo-based elliptical Gaussian model

G. Sportelli, J. E. Ortuno, J. J. Vaquero, M. Desco, A. Santos

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Tags: Image processing, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, OpenCL, PET

January 15, 2013 by hgpu

Parallel Catmull-Rom Spline Interpolation Algorithm for Image Zooming Based on CUDA

Tunhua Wu, Baogang Bai, Ping Wang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GT

January 12, 2013 by hgpu

GPGPU-BASED Cortical Modeling

Theodore Hilk

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Tags: Algorithms, ATI, ATI Radeon HD 6870, ATI Radeon HD 7970, Image processing, OpenCL, PyOpenCL, Python

January 11, 2013 by hgpu

Video coding on multicore graphics processors (GPUs)

Bruno Alexandre de Medeiros

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Tags: Compression, CUDA, Data parallelism, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Thesis, Video encoding

January 11, 2013 by hgpu

A Method to Improve Interest Point Detection and its GPU Implementation

Prabakar Karuppannan Gunashekhar

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Tags: Algorithms, Image processing, nVidia, OpenCL, Thesis

January 11, 2013 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

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high performance computing on graphics processing units: hgpu.org

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

Parallel k-Means Image Segmentation Using Sort, Scan & Connected Components on a GPU

Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

GPU-accelererated regularisation of large diffusion-tensor volumes

Massively parallelizable list-mode reconstruction using a Monte Carlo-based elliptical Gaussian model

Parallel Catmull-Rom Spline Interpolation Algorithm for Image Zooming Based on CUDA

GPGPU-BASED Cortical Modeling

Video coding on multicore graphics processors (GPUs)

A Method to Improve Interest Point Detection and its GPU Implementation

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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