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Speeding up the evaluation of evolutionary learning systems using GPGPUs

Maria Franco, Natalio Krasnogor, Jaume Bacardit

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Tags: BioHEL, Evolutionary Computations, LCS, Learning Classifier System, Machine learning, Tesla C1060

November 1, 2012 by mariaux

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

OpenAdSCL

Scalar collapse in AdS with an OpenCL open source code

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R

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