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Recently, there has been immense interest in using unmanned aerial vehicles (UAVs) for civilian operations such as package delivery, firefighting, and fast disaster response. As a result, UAV traffic management systems are needed to support potentially thousands of UAVs flying simultaneously in the airspace, in order to ensure their liveness and safety requirements are met. Hamilton-Jacobi (HJ) reachability...
Data-adaptable reconfigurable embedded systems enable a flexible runtime implementation in which a system can transition the execution of tasks between hardware and software while simultaneously continuing to process data during the transition. Efficient runtime scheduling of task transitions is needed to optimize system throughput and latency of the reconfiguration and transition periods. In this...
Today's sensing and processing algorithms operate on vast data streams coming from a broad range on input sources. In response, embedded computing applications require a large degree of configurability and adaptability to operate on a variety of data inputs where the characteristic of the data inputs may also change over time. To address these challenges, runtime reconfigurable systems can enable...
This tutorial will cover technical details of how we can re- configure our embedded hardware to optimize performance for new data streams as they arrive. As a participant, you will see details of the toolchain, including (1) the modeling infrastructure used for codesign, (2) tools used to implement the algorithms in software, (3) the tools that permit us to import C/C++ code to hardware, (4) the middleware...
The complexity of embedded applications has led to highly configurable algorithms and standards that support a wide range of data inputs. Design time optimization of these algorithms is not possible due to combinatorial explosion of data configurations -- or data profiles -- that can be observed at runtime. To address these challenges, data adaptable design methodologies can be utilized to directly...
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