Skip to content

Latest commit

 

History

History
20 lines (13 loc) · 735 Bytes

File metadata and controls

20 lines (13 loc) · 735 Bytes

CUDA MATLAB Performance Notes

This repository contains examples and notes for using CUDA together with MATLAB.

Hardware example

  • CPU: Intel Dual Core T4200 2GHz
  • GPU: NVIDIA GeForce G103M

Observations

  • GPU programming efficiency is likely affected by the GPU driver and access layer.
  • Using MATLAB with CUDA, computation times were reduced by about half on Windows 7.
  • On Linux 2.6, the same approach showed a speedup of approximately 4x.
  • GPU memory usage during calculations is significantly lower than CPU-only processing.

Notes

  • These results depend on the specific hardware and software environment.
  • Modern CUDA and MATLAB versions may produce different performance characteristics.