Abstract: Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced.

Abstract: Stochastic computing (SC) has emerged as a promising technique for reducing hardware costs in various applications, particularly in multiply-accumulate (MAC) intensive tasks such as neural ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...