high performance computing on graphics processing units: hgpu.org

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Molecular dynamics simulations with many-body potentials on multiple GPUs – the implementation, package and performance

Qing Hou, Min Li, Yulu Zhou, Jiechao Cui, Zhenguo Cui, Jun Wang

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Tags: Computational Physics, CUDA, GPU cluster, Materials Science, Molecular dynamics, nVidia, Physics, Tesla C2050

January 2, 2013 by hgpu

Stereoscopic Ray Tracing on Graphics Processors

Alper Das

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

December 30, 2012 by hgpu

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Bassem Ibrahim Sheta

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GT 540 M, Thesis

December 30, 2012 by hgpu

Fast Retinal Vessel Analysis

Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert

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Tags: Algorithms, CUDA, Image processing, Mathematics, Medicine, nVidia, nVidia GeForce GTX 680, Radon transform

December 29, 2012 by hgpu

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Rohit Nigam, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Raytracing

December 29, 2012 by hgpu

GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger

D. Emeliyanov, J. Howard

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Tags: CUDA, Data acquisition, Instrumentation and measurement, Nuclear physics, nVidia, Particle physics and field theory, Physics, Tesla C2050

December 29, 2012 by hgpu

Radionuclides migration modelling using artificial neural networks and parallel computing

O.S. Hilko, S.P. Kundas, I.A. Gishkeluk

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Tags: Algorithms, Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 220 M

December 29, 2012 by hgpu

GPU-accelerated MRF segmentation algorithm for SAR images

Haigang Sui, Feifei Peng, Chuan Xu, Kaimin Sun, Jianya Gong

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9800 GT

December 29, 2012 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Password Cracking in the Cloud

Gautam Korlam

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

December 23, 2012 by hgpu

Employing GPU Accelerators for Efficient Enforcement of Data Integrity in Outsourced Data

Krishna Prasanth R, R. Mukkamala, P. K. Baruah

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Tags: Cloud, Computer science, CUDA, nVidia, Security, Tesla M2070, Tesla S2050

December 23, 2012 by hgpu

Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge

Manato Hirabayashi, Shinpei Kato, Masato Edahiro, Yuki Sugiyama

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Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

December 23, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Molecular dynamics simulations with many-body potentials on multiple GPUs – the implementation, package and performance

Stereoscopic Ray Tracing on Graphics Processors

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Fast Retinal Vessel Analysis

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger

Radionuclides migration modelling using artificial neural networks and parallel computing

GPU-accelerated MRF segmentation algorithm for SAR images

Task-based Conjugate-Gradient for multi-GPUs platforms

Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge

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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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