high performance computing on graphics processing units: hgpu.org

Applications

GPU accelerated Nonlinear Soft Tissue Deformation

Sathish Kottravel

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Tags: Algorithms, CUDA, FEM, Finite element method, Medicine, nVidia, nVidia GeForce GTX 290, Surgical simulation, Thesis

May 16, 2012 by hgpu

Simulating the Spread of Epidemics in Real-world Trading Networks using OpenCL

Martin Clauss

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Tags: Biology, Medicine, nVidia, nVidia GeForce GTX 470, nVidia Quadro 1000 M, OpenCL

May 4, 2012 by hgpu

CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction

Xin Zhen, Xuejun Gu, Hao Yan, Linghong Zhou, Xun Jia, Steve B. Jiang

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

May 3, 2012 by hgpu

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger

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Source codes

Tags: Algorithms, CUDA, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480, Package, Tomography

April 28, 2012 by hgpu

GPU computing in medical physics: A review

Guillem Pratx, Lei Xing

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Tags: CUDA, Image processing, Image reconstruction, Medical Physics, Medicine, nVidia, Review

April 19, 2012 by hgpu

An Efficient Parallel GPU Evaluation of Small Angle X-Ray Scattering Profiles

Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck

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Source codes

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

April 7, 2012 by hgpu

Multi-GPU parallelization of a 3D Bayesian CT algorithm and its application on real foam reconstruction with incomplete data set

Nicolas Gac, Alexandre Vabre, Ali Mohammad Djafari

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

March 31, 2012 by hgpu

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Dan Chen, Lizhe Wang, Dong Cui, Dongchuan Lu, Xiaoli Li, Samee U. Khan, Joanna Kolodziej

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 580

March 29, 2012 by hgpu

GPU Enhanced Simulation of Angiogenesis

Marcin Worecki, Rafal Wcislo

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 295

March 19, 2012 by hgpu

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

Richard Membarth, Jan-Hugo Lupp, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C2050

March 8, 2012 by hgpu

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, Sensing, Tesla C2050

February 21, 2012 by hgpu

Cone-beam Computed tomography image reconstruction based on GPU

Hongwei Xu, Fucang Jia, Wenyan Chen, Xiaodong Zhang

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GT 240 M, Tomography

February 18, 2012 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Applications

GPU accelerated Nonlinear Soft Tissue Deformation

Simulating the Spread of Epidemics in Real-world Trading Networks using OpenCL

CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

GPU computing in medical physics: A review

An Efficient Parallel GPU Evaluation of Small Angle X-Ray Scattering Profiles

Multi-GPU parallelization of a 3D Bayesian CT algorithm and its application on real foam reconstruction with incomplete data set

A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

GPU Enhanced Simulation of Angiogenesis

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Cone-beam Computed tomography image reconstruction based on GPU

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Most viewed papers (last 30 days)