Collaboration of Reconfigurable Processors in Grid Computing for Multimedia Kernels

Multimedia applications are multi-standard, multi-format, and compute-intensive. These features in addition to a large set of input and output data lead to that some architectures such as application-specific integrated circuits and general-purpose processors are less suitable to process multimedia applications. Therefore, reconfigurable processors are considered as an alternative approach to develop systems to process multimedia applications efficiently. In this paper, we propose and simulate collaboration of reconfigurable processors in grid computing. Collaborative Reconfigurable Grid Computing (CRGC) employs the availability of any reconfigurable processor to accelerate compute-intensive applications such as multimedia kernels. We explore the mapping of some compute-intensive multimedia kernels such as the 2D DWT and the co-occurrence matrix in CRGC. These multimedia kernels are simulated as a set of gridlets submitted to a software simulator called CR-GridSim. In addition, the behavior of multimedia kernels in the CRGC environment is presented. The experimental results show that the CRGC approach improves performance of up to 7.2x and 2.5x compared to a GPP and the collaboration of GPPs, respectively, when assuming the speedup of reconfigurable processors 10.