high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

FastMag: Fast micromagnetic simulator for complex magnetic structures

R. Chang, S. Li, M. V. Lubarda, B. Livshitz, V. Lomakin

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Tags: CUDA, Electromagnetics simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Physics, Tesla C1060, Tesla C2070

August 31, 2011 by hgpu

Hyperfast Perspective Cone–Beam Backprojection

M. Kachelriess, M. Knaup, O. Bockenbach

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Tags: Algorithms, Cell processor, Computer science, Data mining, Distributed computing, FPGA, Image reconstruction, Nearest neighbour, nVidia, nVidia GeForce FX 5900

August 31, 2011 by hgpu

Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware

Fang Xu, K. Mueller

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Tags: Algorithms, Computed tomography, CT, Image reconstruction, Medicine, nVidia, nVidia GeForce FX 5900, RNA, Visualization

August 31, 2011 by hgpu

Real-Time Adaptive Radiometric Compensation

A. Grundhofer, O. Bimber

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Tags: Algorithms, Computer science, Computer vision, Image generation, nVidia, nVidia GeForce 7900 GTX

August 31, 2011 by hgpu

Bundled depth-map merging for multi-view stereo

Jianguo Li, E. Li, Yurong Chen, Lin Xu, Yimin Zhang

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Optimization, Presentation

August 31, 2011 by hgpu

Partial wave analysis at BES III harnessing the power of GPUs

Niklaus Berger

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Tags: ATI Radeon HD 4870, Brook, High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

Partial Wave Analysis using Graphics Cards

Niklaus Berger

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Tags: High Energy Physics - Experiment, nVidia, OpenCL, Physics, Statistics and Probability

August 31, 2011 by hgpu

FPGA based Speeded Up Robust Features

J. Svab, T. Krajnik, J. Faigl, L. Preucil

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Tags: Algorithms, Computer science, Computer vision, FPGA

August 31, 2011 by hgpu

Invited paper: Accelerating neuromorphic vision on FPGAs

Sungho Park, Srinidhi Kestur, Kevin M. Irick, Vijaykrishnan Narayanan

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Tags: Algorithms, FPGA, Image processing

August 30, 2011 by hgpu

An FPGA-specific algorithm for direct generation of multi-variate Gaussian random numbers

David B. Thomas, Wayne Luk

Tags: Algorithms, Computer science, CUDA, DSP, FPGA, Numerical simulation, nVidia, Pseudo-random number generators

August 30, 2011 by hgpu

Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions

David Gallup, Jan-Michael Frahm, Philippos Mordohai, Qingxiong Yang, Marc Pollefeys

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 GTX

August 30, 2011 by hgpu

Interactive rendering of large unstructured grids using dynamic level-of-detail

Steven P. Callahan, Joao L. D. Comba, Peter Shirley, Claudio T. Silva

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon X800, Computer science, Image generation, OpenGL, Rendering

August 30, 2011 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

Programming

FastMag: Fast micromagnetic simulator for complex magnetic structures

Hyperfast Perspective Cone–Beam Backprojection

Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware

Real-Time Adaptive Radiometric Compensation

Bundled depth-map merging for multi-view stereo

Partial wave analysis at BES III harnessing the power of GPUs

Partial Wave Analysis using Graphics Cards

FPGA based Speeded Up Robust Features

Invited paper: Accelerating neuromorphic vision on FPGAs

An FPGA-specific algorithm for direct generation of multi-variate Gaussian random numbers

Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions

Interactive rendering of large unstructured grids using dynamic level-of-detail

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Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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