bemd

There are 4 repositories under bemd topic.

  • CardLin/SFEGO_PyCUDA

    This python binding for run CUDA kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

    Language:Python6102

  • CardLin/SFEGO_OpenCL

    This project is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

    Language:C++2100

  • CardLin/SFEGO_PyOpenCL

    This python binding for run OpenCL kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

    Language:Python1100

  • CardLin/SFEGO_PyOpenCL_Service

    This Server.py and Client.py can provide send job to multiple GPU Server to run SFEGO in GPU which can make better throughput.

    Language:Python1100