Abstract
The use of reconfigurable hardware to accelerate computing intensive part of the applications has long been shown to provide large execution speedups. However, the long configuration latency and the limited amount of reconfigurable hardware resources demands careful arbitration of those resources among the applications in the system. In past efforts, we demonstrated that effective allocation of reconfigurable hardware resources can boost overall system throughput in a multi-tasking system. For that work, we invoked reconfigurable hardware scheduling periodically with a fixed interval. In this work, we further examine the size of the static scheduling interval, and propose two adaptive interval approaches that use a phase tracking technique to reduce overall scheduling overhead by up to 85%.
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