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hgpu.org » Applications » Medicine

Stabilized Backward Diffusion for Partial Volume Correction

Zsolt Marta

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Tags: Algorithms, Computed tomography, CT, Medicine, nVidia, nVidia GeForce GTX 480, OpenCL, Partial differential equations, PET, Tomography

May 16, 2013 by hgpu

Fast and Robust 3D Correspondence Matching and Its Application to Volume Registration

Yuichiro Tajima, Kinya Fudano, Koichi Ito, Takafumi Aoki

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Tags: Computed tomography, CT, CUDA, Medicine, MRI

April 15, 2013 by hgpu

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Mario Rincon-Nigro, Nikhil V. Navkar, Nikolaos V. Tsekos, Zhigang Deng

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Tags: Computer science, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Visualization

April 12, 2013 by hgpu

Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units

Kun Wang, Chao Huang, Yu-Jiun Kao, Cheng-Ying Chou, Alexander A. Oraevsky, Mark A. Anastasio

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Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060, Tesla C2050, Tomography

April 9, 2013 by hgpu

Performance study of filtered back-projection algorithms implemented on GPUs

Bruno Faria

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 580, Performance, Tomography

March 21, 2013 by hgpu

Volume Raycasting Performance Using DirectCompute

Hakan Johansson

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, DirectCompute, DirectX, Medicine, Rendering, Thesis, Tomography

March 18, 2013 by hgpu

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Shanhui Sun

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Tags: CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization

March 14, 2013 by hgpu

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Christian B. Mendl, Steven Eliuk, Michelle Noga, Pierre Boulanger

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Tags: Computed tomography, CT, CUDA, DirectX, Filtering, HLSL, Medicine, nVidia, nVidia Quadro FX 4000, Tomography

March 12, 2013 by hgpu

Using High Performance Computing to Improve Image Guided Cancer Treatment

Dante Gama Dessavre

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Tags: CUDA, Image processing, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

February 18, 2013 by hgpu

Partial Volume Effect Correction using Anisotropic Backward Diffusion

Zsolt Marta, Laszlo Szirmay-Kalos

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Tags: Algorithms, Computed tomography, CT, Medicine, OpenCL, PET, Tomography

February 14, 2013 by hgpu

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

Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH

Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris Metaxas, Leon Axel

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Tags: Collision detection, CUDA, Fluid simulation, Heart, Medicine, nVidia, nVidia GeForce GTX 590

February 9, 2013 by hgpu

sycl-bench: SYCL Benchmark Suite

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Ginkgo: a high-performance linear algebra library for manycore systems

Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP

GROMACS with CUDA-aware MPI direct GPU communication support

Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS

Rodinia_SYCL: The Rodinia Benchmark Suite in SYCL

The Rodinia Benchmark Suite in SYCL

Neural Architecture Search Without Training

Neural Architecture Search without Training

OpenABLext: An extension to OpenABL, a framework to generate high- performance code for agent-based simulations

OpenABLext: An automatic code generation framework for agent-based simulations on CPU-GPU-FPGA heterogeneous platforms

SOFF: SNU OpenCL Framework for FPGAs

SOFF: An OpenCL High-Level Synthesis Framework for FPGAs

GCOOSpDM: Sparse-dense matrix-matrix multiplication on GPUs

Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format

Programming Your GPU with OpenMP: A Hands-On Introduction

Evaluating the performance of HPC-style SYCL applications

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2020

November

24-27

Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2021

January

13-15

Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

2020

December

14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

2020

December

14-16

Bangkok, Thailand

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020

2020

December

14-16

Bangkok, Thailand

International Joint Conference on Signals, Systems and Computers (CSSC’20), 2020

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