We designed and implemented MIC-SVM, a highly efficient parallel SVM for x86 based multicore and many-core architectures, such as the Intel Ivy Bridge CPUs and Intel Xeon Phi co-processor (MIC). We propose various novel analysis methods and optimization techniques to fully utilize the multilevel parallelism provided by these architectures and serve as general optimization methods for other machine learning tools.
Revised: June 11, 2015 |
Published: February 1, 2015
Citation
You Y., H. Fu, S. Song, A. Randles, D.J. Kerbyson, A. Marquez, and G. Yang, et al. 2015.Scaling Support Vector Machines On Modern HPC Platforms.Journal of Parallel and Distributed Computing 76.PNNL-SA-105673.doi:10.1016/j.jpdc.2014.09.005