As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...
Abstract: Multiplying matrices is among the most fundamental and compute-intensive operations in machine learning. Approximated Matrix Multiplication (AMM) based on table look-ups can significantly ...
Abstract: Look-up table (LUT) is an efficient digital pre-distortion (DPD) technique at the transmitter side (Tx) to mitigate the pattern-dependent impairment arising in the intensity-modulation ...
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