high performance computing on graphics processing units: hgpu.org

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A Haptic Device Interface for Medical Simulations using OpenCL

Mattias Machwirth

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Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 7610 M, ATI Radeon HD 7970, Medicine, OpenCL, Thesis, Ultrasound, Visualization

August 14, 2013 by hgpu

GPU-Based Real-Time Imaging Software Suite for Medical Ultrasound

Jung Woo Choe, Amin Nikoozadeh, Omer Oralkan, Butrus T. Khuri-Yakub

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Tags: CUDA, Data acquisition, Image processing, nVidia, Rendering, Tesla C2070, Ultrasound

August 9, 2013 by hgpu

Portable Parallel Kernels for High-Speed Beamforming in Synthetic Aperture Ultrasound Imaging

Joao Amaro, Gabriel Falcao, Billy Y. S. Yiu, Alfred C. H. Yu

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Tags: Algorithms, ATI, ATI Radeon HD 6970, nVidia, OpenCL, Signal processing, Tesla C1060, Ultrasound

August 6, 2013 by hgpu

High Performance Implementation of Ultrasound Color Doppler Imaging on GPU platform

Thi Yen Phuong, Jeong-Gun Lee

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 660, Ultrasound

July 25, 2013 by hgpu

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Junying Chen

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Tags: Algorithms, CUDA, Design space exploration, FPGA, Medicine, nVidia, nVidia GeForce GTX 680, Thesis, Ultrasound

July 12, 2013 by hgpu

Use of Multi-GPU Systems for Larger Than Device FFTs: With Applications in Ultrasound Simulations

Nimalan Nandapalan

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Tags: CUDA, FFT, nVidia, nVidia GeForce GTX 580, Signal processing, Thesis, Ultrasound

May 25, 2013 by hgpu

Analysis of Multicore CPU and GPU Toward Parallelization of Total Focusing Method Ultrasound Reconstruction

Jason Lambert, Antoine Pedron, Guillaume Gens, Franck Bimbard, Lionel Lacassagne, Ekaterina Iakovleva, Stephane Le Berre

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Physics, Ultrasound

April 29, 2013 by hgpu

Fast simulation of nonlinear radio frequency ultrasound images in inhomogeneous nonlinear media: CREANUIS

Francois Varray, Matthieu Toulemonde, Olivier Basset, Christian Cachard

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Source codes

Tags: Acoustics, Ultrasound

April 16, 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

Modular & Scalable Ultrasound Platform with GPU Processing

M. Lewandowski, M. Walczak, B. Witek, P. Kulesza, K. Sielewicz

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Tags: CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Signal processing, Ultrasound

October 25, 2012 by hgpu

GPU Implementation of the STA Algorithm on I/Q Data

M. Lewandowski, P. Karwat, J. Kudelka, T. Kleczek

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 580, Ultrasound

October 24, 2012 by hgpu

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

Luis Alvarez

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Tags: CUDA, Image processing, nVidia, nVidia Quadro FX 600, Signal processing, Thesis, Ultrasound, Visualization

October 18, 2012 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

A Haptic Device Interface for Medical Simulations using OpenCL

GPU-Based Real-Time Imaging Software Suite for Medical Ultrasound

Portable Parallel Kernels for High-Speed Beamforming in Synthetic Aperture Ultrasound Imaging

High Performance Implementation of Ultrasound Color Doppler Imaging on GPU platform

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Use of Multi-GPU Systems for Larger Than Device FFTs: With Applications in Ultrasound Simulations

Analysis of Multicore CPU and GPU Toward Parallelization of Total Focusing Method Ultrasound Reconstruction

Fast simulation of nonlinear radio frequency ultrasound images in inhomogeneous nonlinear media: CREANUIS

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

Modular & Scalable Ultrasound Platform with GPU Processing

GPU Implementation of the STA Algorithm on I/Q Data

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

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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