high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

T. P. Chen, Yen-Kuang Chen

Tags: Image processing, nVidia

November 23, 2010 by hgpu

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 23, 2010 by hgpu

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb

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Tags: Computed tomography, CT, CUDA, Image processing, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280, Rendering

November 23, 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

3D nonrigid registration via optimal mass transport on the GPU

Tauseef Rehman, Eldad Haber, Gallagher Pryor, John Melonakos, Allen Tannenbaum

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Tags: Cg, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX, OpenGL

November 22, 2010 by hgpu

Memory Access Optimized Implementation of Cyclic and Quasi-Cyclic LDPC Codes on a GPGPU

Hyunwoo Ji, Junho Cho, Wonyong Sung

Tags: nVidia, nVidia GeForce GTX 285, Parity-check codes, Signal processing

November 22, 2010 by hgpu

GPU-accelerated elastic 3D image registration for intra-surgical applications

Daniel Ruijters, Bart M. ter Haar Romeny, Paul Suetens

Tags: Image processing, Image registration, Medicine

November 22, 2010 by hgpu

Non-local means denoising algorithm accelerated by GPU

K. Huang, D. Zhang, K. Wang

Tags: Algorithms, Image processing

November 21, 2010 by hgpu

Volume Visualization: A Technical Overview with a Focus on Medical Applications

Qi Zhang, Roy Eagleson, Terry Peters

Tags: FFT, Image processing, Medicine, Raytracing, Rendering, Visualization

November 20, 2010 by hgpu

Real time ultrasound image denoising

Fernanda Palhano Xavier de Fontes, Guillermo Andrade Barroso, Pierrick Coupe, Pierre Hellier

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280

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

Design and Performance Evaluation of Image Processing Algorithms on GPUs

In K. Park, Nitin Singhal, Man H. Lee, Sungdae Cho, Chris Kim

Tags: Computer vision, CUDA, Image processing, nVidia, OpenMP

November 19, 2010 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

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

3D nonrigid registration via optimal mass transport on the GPU

Memory Access Optimized Implementation of Cyclic and Quasi-Cyclic LDPC Codes on a GPGPU

GPU-accelerated elastic 3D image registration for intra-surgical applications

Non-local means denoising algorithm accelerated by GPU

Volume Visualization: A Technical Overview with a Focus on Medical Applications

Real time ultrasound image denoising

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

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)