high performance computing on graphics processing units: hgpu.org

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 by hgpu

Parallelization of an Ultrasound Reconstruction Algorithm for non Destructive Testing on Multicore CPU and GPU

Antoine Pedron, Lionel Lacassagne, Franck Bimbard, Stephane Le Berre

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Tags: Algorithms, CUDA, nVidia, Optimization, Physics, Tesla C1060, Tesla C2070, Ultrasound

December 12, 2011 by hgpu

Ultrasound Image Simulation with GPU-based Ray Tracing

Yuen C. Law, Sebastian Ullrich, Thomas Knott, Torsten Kuhlen

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Tags: Medicine, nVidia, nVidia GeForce GTX 480, Physics, Raytracing, Rendering, Ultrasound, Visualization

December 3, 2011 by hgpu

Computation of the Spatial Impulse Response for Ultrasonic Fields on the Graphics Processing Units (GPU)

Luna Florian

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Ultrasound

November 28, 2011 by hgpu

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

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Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

A multi-GPU acceleration for 3D imaging of the prostate

E. A. Attardo, A. Borsic, R. J. Halter

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Tags: CUDA, Medicine, nVidia, Tesla S1070, Tomography, Ultrasound

November 12, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Performance Analysis of an Ultrasound Reconstruction Algorithm for Non Destructive Testing

Sound Speed Optimization Using Image Texture on CUDA

Use of Multiple GPUs on Shared Memory Multiprocessors for Ultrasound Propagation Simulations

Real-Time Ultrasound Biomicroscopy with Optoacoustic Arrays

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Parallelization of an Ultrasound Reconstruction Algorithm for non Destructive Testing on Multicore CPU and GPU

Ultrasound Image Simulation with GPU-based Ray Tracing

Computation of the Spatial Impulse Response for Ultrasonic Fields on the Graphics Processing Units (GPU)

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

A multi-GPU acceleration for 3D imaging of the prostate

Synthetic Aperture Beamformation using the GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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