high performance computing on graphics processing units: hgpu.org

hgpu.org » Geodesic Distances

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Xiang Ying, Xiaoning Wang, Ying He

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, Tesla K20, Tessellation

January 10, 2014 by hgpu

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Xiang Ying, Shi-Qing Xin, Ying He

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Tags: Algorithms, Computer science, CUDA, Geodesic Distances, Graphics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 470, nVidia GeForce GTX 580

May 8, 2013 by hgpu

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Jie-Yi Zhao, Min Tang, Ruo-Feng Tong

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, nVidia GeForce GTX 580

November 7, 2012 by hgpu

Geodesic tree-based dynamic programming for fast stereo reconstruction

Chin-Hong Sin, Chia-Ming Cheng, Shang-Hong Lai, Shan-Yung Yang

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Tags: Algorithms, Computer science, Distance transform, Geodesic Distances, nVidia, nVidia GeForce 9800 GT

August 7, 2011 by hgpu

Efficient Approximate Visibility of Point Sets on the GPU

Denison L. M. Tavares, Joao L. D. Comba

Tags: Computer science, Distance transform, Geodesic Distances, Rendering

May 16, 2011 by hgpu

Real-time multi-agent path planning on arbitrary surfaces

Rafael P. Torchelsen, Luiz F. Scheidegger, Guilherme N. Oliveira, Rui Bastos, Joao L. D. Comba

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Tags: Computer science, CUDA, Games, Geodesic Distances, nVidia, nVidia GeForce GTX 260, Path problems

November 7, 2010 by hgpu

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

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

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Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Geodesic tree-based dynamic programming for fast stereo reconstruction

Efficient Approximate Visibility of Point Sets on the GPU

Real-time multi-agent path planning on arbitrary surfaces

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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