Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. Owing to the limitation of the computing mechanism, while ...
Abstract: Sparse general matrix-matrix multiplication (SpGEMM) is a key operation in scientific computing, graph analytics, and machine learning. Despite extensive optimization efforts on GPUs and ...
Abstract: Sparse Matrix-Dense Vector Multiplication (SpMV) is an important computational primitive which is bounded by memory bandwidth. Computing-in-memory (CIM) is regarded as an effective approach ...
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