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GPU-based Multilevel Clustering

Iurie Chiosa, Andreas Kolb

Tags: 3D Graphics and Realism, Algorithms, Computer science, Voronoi diagram

March 13, 2011 by hgpu

Real-Time Image Segmentation on a GPU

Alexey Abramov, Tomas Kulvicius, F. Worgotter, B. Dellen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Real-time graphics

March 13, 2011 by hgpu

A Quantitative Performance Analysis Model for GPU Architectures

Yao Zhang, John D. Owens

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Tags: Computer science, CUDA, Hardware Architecture, Linear Algebra, nVidia, nVidia GeForce GTX 285, Optimization

March 13, 2011 by hgpu

Interactive Volume Rendering Aurora on the GPU

Orion Sky Lawlor, Jon Genetti

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Tags: Algorithms, ATI, ATI Radeon HD 4830, Computer science, GLSL, nVidia, nVidia GeForce 8800 M GTS, nVidia GeForce GTX 280, OpenGL, Raytracing, Rendering

March 13, 2011 by hgpu

GPU Objects

Sunil Mohan Ranta, Jag Mohan Singh, P. J. Narayanan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600 GT, OpenGL

March 13, 2011 by hgpu

GPU for CAD

Thomas R. Kurfess, Thomas M. Tucker, Koushik Aravalli, P. M. Meghashyam

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Tags: CAD, Computer science, nVidia, nVidia Quadro FX 3000, Review, Shaders

March 13, 2011 by hgpu

Improving the Efficiency of GPU Clusters

Bill Mcmillan

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Tags: Computer science, GPU cluster, Review

March 12, 2011 by hgpu

Efficient Spatial Binning on the GPU

Christopher Oat, Joshua Barczak, Jeremy Shopf

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 4870, Computer science, DirectX, Nearest neighbour, Sorting

March 12, 2011 by hgpu

GPU Octrees and Optimized Search

Daniel Madeira, Anselmo Montenegro, Esteban Clua, Thomas Lewiner

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 9600 M GT, Search

March 12, 2011 by hgpu

Acceleration of a CFD Code with a GPU

Dennis C. Jespersen

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX

March 12, 2011 by hgpu

Empowering Visual Categorization With the GPU

Koen E. A. Van De Sande, Theo Gevers, Cees G. M. Snoek

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Tags: CUDA, Image processing, Information Retrieval, nVidia, nVidia GeForce GTX 260

March 12, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-based Multilevel Clustering

Real-Time Image Segmentation on a GPU

A Quantitative Performance Analysis Model for GPU Architectures

Interactive Volume Rendering Aurora on the GPU

GPU Objects

GPU for CAD

Improving the Efficiency of GPU Clusters

Efficient Spatial Binning on the GPU

GPU Octrees and Optimized Search

Acceleration of a CFD Code with a GPU

Empowering Visual Categorization With the GPU

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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