Description:

Support Vectors Machine library in .net with CUDA support. Library includes GPU SVM solver for kernels linear,RBF,Chi-Square and Exp Chi-Square which use NVIDIA CUDA technology. It allows for classification of feature rich sparse datasets through utilization of sparse matrix formats CSR, Ellpack-R or Sliced EllR-T. The use of sparse formats allowed for classification of RCV1 or Newsgroup20.

Key Features: .Net implementation, SVM CUDA acceleration – kernels and solver, Parallel kernel implementation, CUDA SVM with sparse data formats: CSR, Ellpack-R, Sliced-Ellpack.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Windows

Data Formats: Svmlight

Tags: Support Vector Machine, Svm, Gpu, Library

Archive: download here

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