Abstract:
The following description relates to a method and an apparatus for merging distributed stream processing services. A method for merging distributed stream processing services according to an example includes generating a global service tree based on one distributed stream processing service; when a new distributed stream processing service different from the one distributed stream processing service is inputted, generating an individual service tree for the new distributed stream processing service; and updating the global service tree by merging at least one node commonly existing in both the global service tree and the individual service tree. Common resources may be allocated to tasks (or instances) existing commonly in distributed stream processing services.
Abstract:
A constant fault alarm rate (CFAR) device for a signal detection system is disclosed herein. The CFAR device includes a first signal selection unit and a second signal selection unit. The first signal selection unit receives a last signal of a lagging sorting array and signals of one or more lagging guard cells, selects any one of the last signal of the lagging sorting array and the signals of the one or more lagging guard cell as a test signal based on a received guard cell size, and outputs the test signal. The second signal selection unit receives the test signal and signals of one or more leading guard cells, selects any one of the test signal and the signals of the one or more leading guard cells based on the guard cell size, and transfers this selected signal to the leading sorting array.
Abstract:
Disclosed herein is an AI accelerator. The AI accelerator includes processors, each performing a deep-learning operation using multiple threads; and a cache memory including an L0 instruction cache for providing instructions to the processors and an L1 cache mapped to the multiple areas of mapped memory.
Abstract:
Disclosed herein are a radar apparatus and a method of operating the same. The radar apparatus includes a clutter analysis unit, a screen change detection unit, a representative value acquisition unit, and a target detection unit. The clutter analysis unit analyzes the clutter value of a signal that is received by a reception unit. The screen change detection unit calculates the screen change time up to the time at which a screen has been changed from an image captured by an imaging apparatus. The representative value acquisition unit acquires a representative value based on a plurality of clutter values analyzed for the screen change time by the clutter analysis unit. The target detection unit determines the signal to be a target signal if the size of the signal is larger than both the clutter value and representative value of the signal.
Abstract:
Disclosed herein is a method for outer-product-based matrix multiplication for a floating-point data type includes receiving first floating-point data and second floating-point data and performing matrix multiplication on the first floating-point data and the second floating-point data, and the result value of the matrix multiplication is calculated based on the suboperation result values of floating-point units.