high performance computing on graphics processing units: hgpu.org

Ezio Bartocci, Rupinder Singh, Frederick B. von Stein, Avessie Amedome, Alan Joseph J. Caceres, Juan Castillo, Evan Closser, Gabriel Deards, Andriy Goltsev, Roumwelle Sta. Ines, Cem Isbilir, Joan K. Marc, Diquan Moore, Dana Pardi, Sandeep Sadhu, Samuel Sanchez, Pooja Sharma, Anoopa Singh, Joshua Rogers, Aron Wolinetz, Terri Grosso-Applewhite, Kai Zhao, Andrew B. Filipski, Robert F. Gilmour, Jr., Radu Grosu, James Glimm, Scott A. Smolka, Elizabeth M. Cherry, Edmund M. Clarke, Nancy Griffeth, Flavio H. Fenton

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Source codes

Tags: CUDA, Heart, Medicine, nVidia, Package

January 31, 2013 by hgpu

Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck

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Source codes

Tags: Algorithms, Biology, Medicine, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Package

January 30, 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

A master-slave robotic simulator based on GPUDirect

Jianying. Li, Yu. Guo, Heye. Zhang, Yongming. Xie

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Tags: CUDA, Medicine, nVidia, Tesla S1070, Virtual reality

January 13, 2013 by hgpu

Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications

Julien Bert, Hector Perez-Ponce, Sebastien Jan, Ziad El Bitar, Pierre Gueth, Vesna Cuplov, Hocine Chekatt, Didier Benoit, David Sarrut, Yannick Boursier, David Brasse, Irene Buvat, Christian Morel, Dimitris Visvikis

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Tags: CUDA, Image processing, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580

January 4, 2013 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

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high performance computing on graphics processing units: hgpu.org

Applications

Using High Performance Computing to Improve Image Guided Cancer Treatment

Partial Volume Effect Correction using Anisotropic Backward Diffusion

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

Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH

GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

Teaching cardiac electrophysiology modeling to undergraduate students: laboratory exercises and GPU programming for the study of arrhythmias and spiral wave dynamics

Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

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

A master-slave robotic simulator based on GPUDirect

Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications

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)