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Large-scale network simulation over heterogeneous computing architecture

Bilel Ben Romdhanne

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 860, Thesis

May 29, 2015 by hgpu

ParTeCL: parallel testing using OpenCL

ParTeCL: parallel testing using OpenCL

DenseNet: Densely Connected Convolutional Networks

Memory-Efficient Implementation of DenseNets

SVMbenchmark: CUDA and OpenCL SVM training benchmark

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

llvm2KITTeL

Termination Analysis for GPU Kernels

shwirl: Meaningful colouring of spectral cube data with volume rendering

Real-time colouring and filtering with graphics shaders

QuadricCurvature

A Fast Method For Computing Principal Curvatures From Range Images

entropy-sgd: Lua implementation of Entropy-SGD

Parle: parallelizing stochastic gradient descent

LightGBM-GPU: GPU Accelerated LightGBM for Histogram-based GBDT Training

GPU-acceleration for Large-scale Tree Boosting

Snowflake: A Lightweight Portable Stencil DSL

Snowflake: A Lightweight Portable Stencil DSL

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

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2018

February

26-28

Singapore

International Conference on Intelligent Autonomous Systems (ICIAS), 2018

2018

February

21-23

Amsterdam, Netherlands

International Conference on Robotics and Intelligent System (ICRIS), 2018

2018

February

24-26

Hong Kong

International Conference on Image and Graphics Processing (ICIGP), 2018

2018

January

18-20

Tokyo, Japan

8th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), 2018

2018

January

8-10

Sydney, Australia

The 10th International Conference on Computer Modeling and Simulation (ICCMS), 2018

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