Enabling Transparent Acceleration of OpenCV Library Kernels on a Hybrid Memory Cube Computer

This paper presents a CPU-FPGA heterogeneous system that provides hardware support for computer vision libraries to attain acceleration over image processing applications. The architecture achieves this improvement by staying completely transparent to the developer while providing necessary acceleration on conventional software designs.

[1]  Christophe Bobda,et al.  A framework for rapid prototyping of embedded vision applications , 2014, Proceedings of the 2014 Conference on Design and Architectures for Signal and Image Processing.

[2]  J. Thomas Pawlowski,et al.  Hybrid memory cube (HMC) , 2011, 2011 IEEE Hot Chips 23 Symposium (HCS).