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Performance Improvement of Data Mining in Weka through GPU Acceleration

Tiago Augusto Engel, Andrea Schwertner Charao, Manuele Kirsch-Pinheiro, Luiz-Angelo Steffenel

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Tags: Comuter science, CUDA, Data mining, Java, Matrix multiplication, nVidia, nVidia Quadro K 2000, Package, Tesla K20, Tesla M2050

June 13, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Performance Improvement of Data Mining in Weka through GPU Acceleration

Recent source codes

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

GARDENIA: Graph Analytics Repository for Designing Next-Generation Accelerators

GPU-benchmarks

bit-reversal-methods

bifrost: A stream processing framework for high-throughput applications

NEMATUS: Open-Source Neural Machine Translation in Theano

ParTeCL: parallel testing using OpenCL

DenseNet: Densely Connected Convolutional Networks

SVMbenchmark: CUDA and OpenCL SVM training benchmark

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International Conference on Intelligent Autonomous Systems (ICIAS), 2018

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

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

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

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