Abstract: We present optimal parallel QR factorization algorithms with reduced communication overhead. QR factorization is widely applied to solve various problems in numerical linear algebra. Our ...
Abstract: Parallelizing the LU factorization of sparse Jacobian matrices reduces the execution time of the power flow algorithm which aids in real time control of the power system. In this paper, ...
Researchers at the University of California San Diego and Rutgers University created a brain-inspired device combining memory ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...