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An Integrated Online Scheduling and Placement Methodology

  • Manish Handa
  • Ranga Vemuri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3203)

Abstract

Dynamic task scheduling and online placement are two of the main responsibilities of an operating system for reconfigurable platforms. Since these operations are performed during run-time of the applications, these are overheads on the execution time. There is a need to find fast and efficient algorithms for task placement and scheduling. We propose an integrated online scheduling and placement methodology. We maintain empty area as a list of maximal empty rectangles which allows us to explore solution space efficiently. We defer scheduling decisions until it is absolutely necessary to accommodate dynamically changing task priorities. We propose task queue management data-structures for in-order and out-of-order task scheduling strategies. One of our queuing strategies guarantees the shortest execution time for in-order task execution and the other strategy results in better FPGA area utilization for out-of-order task execution. We provide experimental evidence of improvement our methodology yields over the previous approaches.

Keywords

Task Schedule Online Schedule Input Queue Task Placement Empty Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Manish Handa
    • 1
  • Ranga Vemuri
    • 1
  1. 1.Department of ECECSUniversity of CincinnatiCincinnatiUSA

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