high performance computing on graphics processing units: hgpu.org

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A framework for volume segmentation and visualization using Augmented Reality

Takehiro Tawara, Kenji Ono

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Tags: Augmented reality, Computer science, MRI, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

August 31, 2011 by hgpu

Fast and sleek glyph rendering for interactive HARDI data exploration

T.H.J.M. Peeters, V. Prckovska, M. van Almsick, A. Vilanova, B.M. ter Haar Romeny

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Tags: 3D Graphics and Realism, Computer science, Diffusion tensor, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8800 GTX, Probability, Rendering, Visualization

August 27, 2011 by hgpu

Fast boosting trees for classification, pose detection, and boundary detection on a GPU

Neil Birkbeck, Michal Sofka, S. Kevin Zhou

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Tags: Algorithms, CUDA, Medicine, MRI, nVidia, nVidia GeForce GTX 480, Ultrasound

August 17, 2011 by hgpu

GPU accelerated FDTD solver and its application in MRI

J. Chi, F. Liu, J. Jin, D.G. Mason, S. Crozier

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, Magnetic resonance imaging, Medicine, MRI, nVidia, Tesla C1060

August 17, 2011 by hgpu

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

B.D. de Senneville, K.O. Noe, M. Ries, M. Pedersen, C.T.W. Moonen, T.S. Sorensen

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Tags: CUDA, Magnetic resonance imaging, Medicine, Motion compensation, MRI, nVidia, nVidia GeForce 8800 GTX

August 5, 2011 by hgpu

Power-efficient medical image processing using PUMA

Ganesh Dasika, Kevin Fan, Scott Mahlke

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Tags: Algorithms, CUDA, Energy-efficient computing, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

July 31, 2011 by hgpu

Interactive Visualization of Volumetric White Matter Connectivity in DT-MRI Using a Parallel-Hardware Hamilton-Jacobi Solver

Won-Ki Jeong, P. Thomas Fletcher, Ran Tao, Ross T. Whitaker

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Tags: Algorithms, Computer science, CUDA, Diffusion tensor, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8800 GTX, Path problems, Visualization

July 25, 2011 by hgpu

Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites

Dorit Merhof, Markus Sonntag, Frank Enders, Christopher Nimsky, Peter Hastreiter, Gunther Greiner

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Tags: Computer science, Diffusion tensor, GLSL, MRI, Neuroscience, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Rendering, Visualization

July 20, 2011 by hgpu

Accelerating the Nonequispaced Fast Fourier Transform on Commodity Graphics Hardware

Thomas Sangild Sorensen, Tobias Schaeffter, Karsten Ostergaard Noe, Michael Schacht Hansen

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Tags: Algorithms, ATI, ATI FireStream, Computer science, DirectX, FFT, HLSL, MRI

July 14, 2011 by hgpu

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

T.S. Sorensen, D. Atkinson, T. Schaeffter, M.S. Hansen

Tags: Image processing, Image reconstruction, MRI

July 2, 2011 by hgpu

High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm

Wei Cai, Xiangrong Zhou, Xuelin Cui

Tags: Image reconstruction, Medicine, MRI, nVidia, Optimization, Tesla C1060

June 24, 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

A framework for volume segmentation and visualization using Augmented Reality

Fast and sleek glyph rendering for interactive HARDI data exploration

Fast boosting trees for classification, pose detection, and boundary detection on a GPU

GPU accelerated FDTD solver and its application in MRI

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

Power-efficient medical image processing using PUMA

Interactive Visualization of Volumetric White Matter Connectivity in DT-MRI Using a Parallel-Hardware Hamilton-Jacobi Solver

Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites

Accelerating the Nonequispaced Fast Fourier Transform on Commodity Graphics Hardware

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

High-performance 3D Compressive Sensing MRI reconstruction

Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm

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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