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Profile-guided optimization of critical medical imaging algorithms

David R. Kaeli, Byunghyun Jang, Perhaad Mistry, Dana Schaa

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Tags: Image processing, Image reconstruction, Optimization, Tomography

November 26, 2010 by hgpu

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

Taek-Hee Lee, Jeongjin Lee, Ho Lee, Heewon Kye, Yeong G. Shin, Soo H. Kim

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

November 23, 2010 by hgpu

An optimised radial basis function algorithm for fast non-rigid registration of medical images

R. J. Lapeer, S. K. Shah, R. S. Rowland

Tags: Computed tomography, CT, Image registration, Magnetic resonance imaging, Medicine, Tomography

November 19, 2010 by hgpu

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Wei Xu, Fang Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce GTX 280, Tomography

November 19, 2010 by hgpu

Compressive Phase Contrast Tomography

F. R. N. C. Maia, A. MacDowell, S. Marchesini, H. A. Padmore, D. Y. Parkinson, J. Pien, A. Schirotzek, C. Yang

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Tags: CUDA, FFT, nVidia, Optics, Physics, Radon transform, Tesla C1060, Tomography

November 10, 2010 by hgpu

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Maraike Schellmann, Sergei Gorlatch, Dominik Meilander, Thomas Kosters, Klaus Schafers, Frank Wubbeling, Martin Burger

Tags: Cell processor, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tomography

November 8, 2010 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

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high performance computing on graphics processing units: hgpu.org

Profile-guided optimization of critical medical imaging algorithms

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

An optimised radial basis function algorithm for fast non-rigid registration of medical images

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Compressive Phase Contrast Tomography

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

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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