high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU

Dong-Hu Nie, Kyu-Phil Han, Heng-Suk Lee

Tags: Algorithms, Genetic programming, Image processing

May 7, 2011 by hgpu

A GPU-based computing framework for CSCW

Gang Chen, Guobo Li, Baifeng Wu, Songwen Pei

Tags: Algorithms, CAD, Computer science

May 6, 2011 by hgpu

Accelerating InSAR raw data simulation on GPU using CUDA

Zhang Fan, Wang Bing-nan, Xiang Mao-sheng

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia

May 6, 2011 by hgpu

Real-time 3D registration of stereo-vision based range images using GPU

Soon-Yong Park, Sung-In Choi, Jaekyoung Moon, Joon Kim, Yong Woon Park

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Tags: Computer science, Computer vision, CUDA, Image registration, nVidia

May 6, 2011 by hgpu

Efficient nearest-neighbor computation for GPU-based motion planning

Jia Pan, Christian Lauterbach, Dinesh Manocha

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Tags: Algorithms, CUDA, Image processing, Nearest neighbour, nVidia, nVidia GeForce GTX 285

May 6, 2011 by hgpu

Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation

Arunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher S. Bjornsson, Barbara M. Cutler, William Shain, Badrinath Roysam

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Tags: Adaptive threshold, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

May 6, 2011 by hgpu

Large-scale multi-dimensional document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data Structures and Algorithms, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280

May 6, 2011 by hgpu

Towards accelerating molecular modeling via multi-scale approximation on a GPU

M. Daga, Wu-chun Feng, T. Scogland

Tags: Algorithms, Biomolecules, Electrostatic potential, Medicine, Molecular modeling

May 5, 2011 by hgpu

Towards real time vision based UUV navigation using GPU technology

J. Horgan, F. Flannery, D. Toal

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

May 5, 2011 by hgpu

The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA

Wang Zheng-ning, Liu Changzhong, Lu Yu, Wu Min, Zhang Ping

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 3700

May 5, 2011 by hgpu

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

Vincent Garcia, Eric Debreuve, Frank Nielsen, Michel Barlaud

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Source codes

Tags: Computer vision, CUBLAS, CUDA, Image processing, Nearest neighbour, nVidia, nVidia Quadro FX 3700 M, Package, SIFT

May 5, 2011 by hgpu

GPU acceleration for statistical gene classification

Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Alessandro Savino

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia

May 5, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU

A GPU-based computing framework for CSCW

Accelerating InSAR raw data simulation on GPU using CUDA

Real-time 3D registration of stereo-vision based range images using GPU

Efficient nearest-neighbor computation for GPU-based motion planning

Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation

Large-scale multi-dimensional document clustering on GPU clusters

Towards accelerating molecular modeling via multi-scale approximation on a GPU

Towards real time vision based UUV navigation using GPU technology

The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

GPU acceleration for statistical gene classification

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)