The adjacency matrix is a matrix in which if there is a connection between x and y, axy and ayx will be 1, otherwise axy=0, and diagonal will always be 0, which can be utilized in social network ...

mhodlr enables multiple precision control for matrix computation based on HODLR representation. It allows users to control the precision in a global environment, without the need to specify the ...

Matrix computation is the core of many massive data-intensive analytical applications such mining social networks, recommendation systems and nature language processing. Due to the importance of ...

The computation core of many data-intensive applications can be best expressed as matrix computations. The MadLINQ project addresses the following two important research problems: the need for a ...

This paper presents new efficient and scalable matrix processing and optimization techniques for in-memory distributed clusters. The proposed techniques estimate the sparsity of intermediate ...

DGIST announced on July 4 that Professor Min-Soo Kim's team in the Department of Information and Communication Engineering developed the DistME (Distributed Matrix Engine) technology that can ...