high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 2011 by hgpu

Image-based fast three-dimensional leaf modeling

Tingting Wang, Jingqiao Zhang

Tags: 3D Graphics and Realism, Algorithms, Computer science, Visualization

June 6, 2011 by hgpu

Special Relativistic Visualization by Local Ray Tracing

Thomas Muller, Sebastian Grottel, Daniel Weiskopf

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Raytracing, Rendering

June 6, 2011 by hgpu

Illustrative Stream Surfaces

Silvia Born, Alexander Wiebel, Jan Friedrich, Gerik Scheuermann, Dirk Bartz

Tags: Computer science, Fluid simulation, Rendering, Visualization

June 6, 2011 by hgpu

Massively Parallel Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao, Mea Wang

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260

June 6, 2011 by hgpu

Real-time 3D surface modeling for image based relighting

Sae-woon Ryu, Sang Hwa Lee, Jong-il Park

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Real-time graphics, Rendering

June 6, 2011 by hgpu

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

Jonathan Cazalas, Kien Hua

Tags: Algorithms, Computer science, Databases

June 6, 2011 by hgpu

An adaptive octree textures painting algorithm

Gang Dang, Hang Li, Zhi-Quan Cheng, Kai Xu, Yan-Zhen Wang, Bao Li

Tags: 3D Graphics and Realism, Algorithms, Image generation, Image processing

June 6, 2011 by hgpu

Exploiting Computing Power on Graphics Processing Unit

Ziyi Liu, Wenjing Ma

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Performance

June 5, 2011 by hgpu

Large neighborhood local search optimization on graphics processing units

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 280, Search

June 5, 2011 by hgpu

Employ Bump Mapping to Enrich the 3D NPR Image

Zhien Luo

Tags: 3D Graphics and Realism, Image processing, Rendering

June 5, 2011 by hgpu

How to Render FDTD Computations More Effective Using a Graphics Accelerator

P. Sypek, A. Dziekonski, M. Mrozowski

Tags: Computer science, FDTD, Finite-difference time-domain

June 5, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Applications

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Image-based fast three-dimensional leaf modeling

Special Relativistic Visualization by Local Ray Tracing

Illustrative Stream Surfaces

Massively Parallel Network Coding on GPUs

Real-time 3D surface modeling for image based relighting

Leveraging Computation Sharing and Parallel Processing in Location-Based Services

An adaptive octree textures painting algorithm

Exploiting Computing Power on Graphics Processing Unit

Large neighborhood local search optimization on graphics processing units

Employ Bump Mapping to Enrich the 3D NPR Image

How to Render FDTD Computations More Effective Using a Graphics Accelerator

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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