Collaboration of reconfigurable processors in grid computing for multimedia kernels

  • Authors:
  • Mahmood Ahmadi;Asadollah Shahbahrami;Stephan Wong

  • Affiliations:
  • Computer Engineering Laboratory, Delft University of Technology, The Netherlands;Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran;Computer Engineering Laboratory, Delft University of Technology, The Netherlands

  • Venue:
  • GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
  • Year:
  • 2010

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Abstract

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 CRGridSim 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.