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.
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Handa, M., Vemuri, R. (2004). An Integrated Online Scheduling and Placement Methodology. In: Becker, J., Platzner, M., Vernalde, S. (eds) Field Programmable Logic and Application. FPL 2004. Lecture Notes in Computer Science, vol 3203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30117-2_46
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DOI: https://doi.org/10.1007/978-3-540-30117-2_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22989-6
Online ISBN: 978-3-540-30117-2
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