Abstract: Network-wide clock synchronization and localization are two critical requirements in wireless sensor network (WSN) applications. In this paper, the problem of joint clock synchronization and ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...
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