high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Medicine

Petaflop biofluidics simulations on a two million-core system

Massimo Bernaschi, Satoshi Matsuoka, Mauro Bisson, Massimiliano Fatica, Toshio Endo, Simone Melchionna

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Tags: Algorithms, Biology, CUDA, GPU cluster, Medicine, nVidia, Optimization, Tesla M2050

January 11, 2012 by hgpu

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Marcin Sylwestrzak, Daniel Szlag, Maciej Szkulmowski, Piotr Targowski

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Tags: CUDA, Data acquisition, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Tomography

January 11, 2012 by hgpu

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 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

Large Speed Increase Using Novel GPU Based Algorithms to Simulate Cardiac Excitation Waves in a Rabbit Ventricle

Jonathan Higham, Oleg Aslanidi, Henggui Zhang

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Tags: Algorithms, Biophysics, CUDA, Heart, Medicine, nVidia, nVidia GeForce GT 330 M

January 1, 2012 by hgpu

High Quality Cone-beam CT Reconstruction on the GPU

Gabor Jakab, Attila Racz, Kalman Nagy

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Tags: Computed tomography, CT, Image reconstruction, Medicine, Tomography

January 1, 2012 by hgpu

Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography

Ryuta Mizutani, Akihisa Takeuchi, Kentaro Uesugi, Susumu Takekoshi, Naoya Nakamura, Yoshio Suzuki

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Tags: Biology, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 470, Package, Tomography

December 30, 2011 by hgpu

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Mark Murphy

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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

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Yun-Yu Chen, Yi-Min Tsai, Liang-Gee Chen

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Tags: Algorithms, CUDA, Medicine, nVidia, Sorting

December 21, 2011 by hgpu

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Claudio T. Silva, Sarang Joshi1

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, MRI, nVidia, nVidia GeForce GTX 260

December 21, 2011 by hgpu

GPU-based simulation of 3D blood flow in abdominal aorta using OpenFOAM

Z. Malecha, L. Miroslaw, T. Tomczak, Z. Koza, M. Matyka, W. Tarnawski, D. Szczerba

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Tags: CUDA, Fluid dynamics, Medicine, nVidia, nVidia GeForce GTX 275

December 18, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Petaflop biofluidics simulations on a two million-core system

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

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

Large Speed Increase Using Novel GPU Based Algorithms to Simulate Cardiac Excitation Waves in a Rabbit Ventricle

High Quality Cone-beam CT Reconstruction on the GPU

Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

GPU-based simulation of 3D blood flow in abdominal aorta using OpenFOAM

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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