high performance computing on graphics processing units: hgpu.org

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“Local Rank Differences” Image Feature Implemented on GPU

Lukas Polok, Adam Herout, Pavel Zemcik, Michal Hradis, Roman Juranek, Radovan Josth

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Tags: Cg, Computer science, Image processing, Image recognition, nVidia, nVidia GeForce 7950 GX2

December 9, 2010 by hgpu

A GPU-based implementation of motion detection from a moving platform

Qian Yu, G. Medioni

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Tags: Cg, Computer science, Computer vision, Image processing, nVidia, nVidia Quadro FX 3500, OpenGL

December 9, 2010 by hgpu

A framework for GPU-based application-independent 3D interactions

Harlen Batagelo, Shin-Ting Wu

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Tags: 3D Graphics and Realism, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTX, OpenGL

December 9, 2010 by hgpu

High-Quality Rendering of Quartic Spline Surfaces on the GPU

G. Reis, F. Zeilfelder, M. Hering-Bertram, G. E. Farin, H. Hagen

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Tags: Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Rendering

December 9, 2010 by hgpu

A Resource Selection System for Cycle Stealing in GPU Grids

Y. Kotani, F. Ino, K. Hagihara

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Tags: Computer science, Grid, nVidia, nVidia GeForce 6800 GTO, nVidia GeForce 7800 GTX, nVidia GeForce 8800 GTX

December 9, 2010 by hgpu

A new physics engine with automatic process distribution between CPU-GPU

Mark Joselli, Esteban Clua, Anselmo Montenegro, Aura Conci, Paulo Pagliosa

Tags: 3D Graphics and Realism, Computer science, Virtual reality

December 8, 2010 by hgpu

GPU-based rendering of point-sampled water surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 7900 GTX, Real-time graphics, Rendering

December 8, 2010 by hgpu

Exploiting the Power of GPUs for Asymmetric Cryptography

Robert Szerwinski, Tim Guneysu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Security

December 8, 2010 by hgpu

Fast and exact solution of Total Variation models on the GPU

T. Pock, M. Unger, D. Cremers, H. Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

December 8, 2010 by hgpu

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

R. D. Prabhu

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Tags: Computer science, DirectX, Neural networks, nVidia, nVidia GeForce 6150, Self-organizing map

December 8, 2010 by hgpu

Fast support vector machine training and classification on graphics processors

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce 8800 GTX

December 7, 2010 by hgpu

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA

Akira Nukada, Yasuhiko Ogata, Toshio Endo, Satoshi Matsuoka

Tags: Computer science, CUDA, FFT, nVidia

December 7, 2010 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

“Local Rank Differences” Image Feature Implemented on GPU

A GPU-based implementation of motion detection from a moving platform

A framework for GPU-based application-independent 3D interactions

High-Quality Rendering of Quartic Spline Surfaces on the GPU

A Resource Selection System for Cycle Stealing in GPU Grids

A new physics engine with automatic process distribution between CPU-GPU

GPU-based rendering of point-sampled water surfaces

Exploiting the Power of GPUs for Asymmetric Cryptography

Fast and exact solution of Total Variation models on the GPU

SOMGPU: An unsupervised pattern classifier on Graphical Processing Unit

Fast support vector machine training and classification on graphics processors

Bandwidth intensive 3-D FFT kernel for GPUs using CUDA

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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