Using linear programming techniques for scheduling-based random test-case generation

  • Authors:
  • Amir Nahir;Yossi Shiloach;Avi Ziv

  • Affiliations:
  • IBM Research Laboratory in Haifa, Israel;IBM Research Laboratory in Haifa, Israel;IBM Research Laboratory in Haifa, Israel

  • Venue:
  • HVC'06 Proceedings of the 2nd international Haifa verification conference on Hardware and software, verification and testing
  • Year:
  • 2006

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Abstract

Multimedia SoCs are characterized by a main controller that directs the activity of several cores, each of which controls a stage in the processing of a media stream. Stimuli generation for such systems can be modeled as a scheduling problem that assigns data items to the processing elements of the system. Our work presents a linear programming (LP) modeling scheme for these scheduling problems. We implemented this modeling scheme as part of SoCVer, a stimuli generator for multimedia SoCs. Experimental results show that this LP-based scheme allows easier modeling and provides better performance than CSP-based engines, which are widely used for stimuli generation.