Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...

A multi-processing application that performs matrix operations using signals, pipes, and process pools under Linux/WSL. The project demonstrates process creation, inter-process communication (IPC), ...

Abstract: Efficient representation of sparse matrices is critical for reducing memory usage and improving performance in hardware-accelerated computing systems. This letter presents memory-efficient ...

Recognition highlights Genpact's AI-first, front-to-back banking operations capabilities across lending, payments, and servicing to deliver banking transformation NEW YORK, Jan. 22, 2026 /PRNewswire/ ...