Parallelism in Matrix Computations

“The exposition of the material is always very clear. The book is written confidently, with the greatest expertise and a remarkable breadth of topics. It should be an excellent resource for a broad audience of applied mathematicians. I would recommended it to all students, engineers and researchers in applied mathematics who wish to learn something about modern parallel techniques for large-scale matrix computation. Kudos to the authors on having produced such a delightful read and a much-needed reference!” (Bruno Carpentieri, Mathematical Reviews, 2017)

“The goal of this book is to provide basic principles for the design of such efficient parallel algorithms for dense and sparse matrices. … The book is intended to be adequate for researchers as well as for advanced graduates.” (Gudula Rünger, zbMATH 1341.65011, 2016)

“This book covers parallel algorithmsfor a wide range of matrix computation problems, ranging from solving systems of linear equations to computing pseudospectra of matrices. … This is a valuable reference book for researchers and practitioners in parallel computing. It includes up-to-date and comprehensive lists of references for various topics. … this book is well written and accurate. I highly recommend it to the parallel computing community … .” (Sanzheng Qiao, Computing Reviews, November, 2015)