high performance computing on graphics processing units: hgpu.org

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GPU Accelerated Parallel Iris Localization

Abhishek Sinha

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Tags: Biometrics, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GT 410 M, nVidia GeForce GTX 460, Thesis

December 11, 2013 by hgpu

Evaluating tradeoff between recall and performance of GPU permutation index

Mariela Lopresti, Natalia Miranda, Mercedes Barrionuevo, Fabiana Piccoli, Nora Reyes

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M

December 11, 2013 by hgpu

An Analytical Approach of Mars Rovers by Using GPU Technology and Genetic Algorithm

Manas Arora, Neha Maurya

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Tesla M2050, Wavelet

December 11, 2013 by hgpu

Learning Random Forests on the GPU

Yisheng Liao, Alex Rubinsteyn, Russell Power, Jinyang Li

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX Titan, Package, Tesla C2075

December 11, 2013 by hgpu

Efficient Volume Rendering in CUDA Path Tracer

Hsuan-Yueh Peng, Kristopher Wong, Kaleb Williams

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 770, Raytracing, Rendering

December 9, 2013 by hgpu

Algorithm for Sparse Approximate Inverse Preconditioners in the Conjugate Gradient Method

Ilya B. Labutin, Irina V. Surodina

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla M2090

December 9, 2013 by hgpu

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

P. Berczik, R. Spurzem, L. Wang, S. Zhong, O. Veles, I. Zinchenko, S. Huang, M. Tsai, G. Kennedy, S. Li, L. Naso, C. Li

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Package, Tesla C2050, Tesla K20

December 9, 2013 by hgpu

Systematic Physics Constrained Parameter Estimation of Stochastic Differential Equations

Daniel Peavoy, Christian L. E. Franzke, Gareth O. Roberts

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Tags: Algorithms, Bayesian, CUDA, Differential equations, nVidia, Physics

December 9, 2013 by hgpu

A Video Deblurring Optimization Algorithm Based on Motion Detection

Zhang Yinan, He Jing, Yuan Jie

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

December 9, 2013 by hgpu

Locality Analysis for Characterizing Applications Based on Sparse Matrices

Noboru Tanabe, Sonoko Tomimori, Masami Takata, Kazuki Joe

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

December 9, 2013 by hgpu

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Jorg Stuckler, Benedikt Waldvogel, Hannes Schulz, Sven Behnke

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 675 M, nVidia GeForce GTX Titan

December 9, 2013 by hgpu

Advanced ultrasound beam forming using GPGPU technology

Yannick van Bavel

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 660 Ti, Thesis, Ultrasound

December 9, 2013 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

GPU Accelerated Parallel Iris Localization

Evaluating tradeoff between recall and performance of GPU permutation index

An Analytical Approach of Mars Rovers by Using GPU Technology and Genetic Algorithm

Learning Random Forests on the GPU

Efficient Volume Rendering in CUDA Path Tracer

Algorithm for Sparse Approximate Inverse Preconditioners in the Conjugate Gradient Method

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

Systematic Physics Constrained Parameter Estimation of Stochastic Differential Equations

A Video Deblurring Optimization Algorithm Based on Motion Detection

Locality Analysis for Characterizing Applications Based on Sparse Matrices

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Advanced ultrasound beam forming using GPGPU technology

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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