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Is OpenCL a suitable platform for algorithm development in health care systems?

Mattias Larsson

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 470, nVidia Quadro FX 1800, OpenCL, Python, Thesis

August 26, 2012 by hgpu

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

Martin Andrew Corraine

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Tags: CUDA, Heart, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tesla C2070, Thesis

July 25, 2012 by hgpu

Medical Image Registration using OpenCL

Sachitsing Dwarkan

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6750 M, Image processing, Image registration, Medicine, OpenCL, Software Engineering, Thesis

May 23, 2012 by hgpu

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

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 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

A GPU-based platform for cancer-treatment planning

Luis Cebamanos

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Tags: Algorithms, CUDA, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

January 2, 2012 by hgpu

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Mark Murphy

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Source codes

Tags: Algorithms, Compression, CUDA, FFT, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 580, Package, Thesis, Wavelet

December 29, 2011 by hgpu

Generation of planar radiographs from 3D anatomical models using the GPU

Andre dos Santos Cardoso

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GT 240, Optimization, Thesis

November 10, 2011 by hgpu

Interactive Soft Tissue for Surgical Simulation

Gregory S. Ruthenbeck

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Tags: Algorithms, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Surgical simulation, Thesis, Virtual reality

October 1, 2011 by hgpu

GPU Accelerated Cardiac Electrophysiology

F. Lionetti

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Tags: CUDA, Electrocardiograms simulation, Heart, Medicine, nVidia, nVidia GeForce GTX 295, ODEs, Ordinary differential equations, Thesis

March 14, 2011 by hgpu

Multimodal Image Registration Using GPU Parallel Computing Technology

Xiaolu Sun

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Tags: CUDA, Image registration, Medicine, nVidia, Review, Tesla C1060, Thesis

March 5, 2011 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Theses

Is OpenCL a suitable platform for algorithm development in health care systems?

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

Medical Image Registration using OpenCL

GPU accelerated Nonlinear Soft Tissue Deformation

Efficient fMRI Analysis and Clustering on GPUs

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

A GPU-based platform for cancer-treatment planning

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Generation of planar radiographs from 3D anatomical models using the GPU

Interactive Soft Tissue for Surgical Simulation

GPU Accelerated Cardiac Electrophysiology

Multimodal Image Registration Using GPU Parallel Computing Technology

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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