Abstract: A mixed-precision analog compute-in-memory (Mix-ACIM) is presented for mixed-precision vector-matrix multiplication (VMM). The design features an all-analog current-domain fixed-point (FxP) ...
Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...
[linalg](linalg::Multiply(vector, Matrix)) and linalg::MultiplyAdd(vector, Matrix, vector) do not provide a mechanism to declare interpretation parameters for input and bias vectors which would allow ...
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