high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Lars Jensen, Anders Kjaer-Nielsen, Karl Pauwels, Jeppe Jessen, Marc Van Hulle, Norbert Kruger

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, OpenMP

November 19, 2010 by hgpu

A Survey of Medical Image Registration on Multicore and the GPU

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 295

November 17, 2010 by hgpu

Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

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Source codes

Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 2010 by hgpu

Alignator: A GPU powered software package for robust fiducial-less alignment of cryo tilt-series

Daniel Castano-Diez, Margot Scheffer, Ashraf Al-Amoudi, Achilleas S. Frangakis

Tags: Biology, Cryo-electron tomography, Image alignment, Image processing

November 17, 2010 by hgpu

Fast GPU Implementation of Sparse Signal Recovery from Random Projections

M. Andrecut

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Tags: CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 280, Signal processing

November 13, 2010 by hgpu

An extended GPU radiosity solver

Gunter Wallner

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Tags: Cg, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 8, 2010 by hgpu

A SIMD-efficient 14 instruction shader program for high-throughput microtriangle rasterization

Jordi Roca, Victor Moya, Carlos Gonzalez, Vicente Escandell, Albert Murciego, Agustin Fernandez, Roger Espasa

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Tags: ATI, Image processing, OpenGL, Rasterization, Rendering

November 8, 2010 by hgpu

A GPU-based matting Laplacian solver for high resolution image matting

Mengcheng Huang, Fang Liu, Enhua Wu

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Tags: Conjugate gradient solver, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 8, 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

High-performance cone beam reconstruction using CUDA compatible GPUs

Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, Tesla C870

November 8, 2010 by hgpu

The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography

Bo Zhang, Xiang Yang, Fei Yang, Xin Yang, Chenghu Qin, Dong Han, Xibo Ma, Kai Liu, Jie Tian

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Tags: CUBLAS, CUDA, CULA, Image processing, Image reconstruction, Medicine, nVidia GeForce GT 240

November 8, 2010 by hgpu

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

Weiguo Liu, Bertil Schmidt, Wolfgang Muller-Wittig

Tags: Biology, Computer science, nVidia, Sequence alignment, Signal processing

November 7, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A two-level real-time vision machine combining coarse- and fine-grained parallelism

A Survey of Medical Image Registration on Multicore and the GPU

Fast free-form deformation using graphics processing units

Alignator: A GPU powered software package for robust fiducial-less alignment of cryo tilt-series

Fast GPU Implementation of Sparse Signal Recovery from Random Projections

An extended GPU radiosity solver

A SIMD-efficient 14 instruction shader program for high-throughput microtriangle rasterization

A GPU-based matting Laplacian solver for high resolution image matting

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

High-performance cone beam reconstruction using CUDA compatible GPUs

The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

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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