@BOOK\{IMM2006-04325, author = "J. Dongarra and K. Madsen and J. Wasniewski", title = "PARA'04, {STATE-OF-THE-ART} {IN} {SCIENTIFIC} {COMPUTING} Springer {LNCS} Proceedings", year = "2006", keywords = "Computer Science, Parallel Computing, Numerical Analysis, Linear Algebra", volume = "", number = "3732", series = "Lecture Notes in Computer Science", publisher = "Springer-Verlag", address = "", edition = "", note = "They will be published any day, very soon.", url = "http://www2.compute.dtu.dk/pubdb/pubs/4325-full.html", abstract = "This meeting in the series, the {PARA'}04 Workshop with the title ``State of the Art in Scientific Computing{'',} was held in Lyngby, Denmark, June 20-23, 2004. The {PARA'}04 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Wa\{\$\backslash\$'\{s\}\}niewski from the Technical University of Denmark. The emphasis here was shifted to High-Performance Computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly difficult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer's memory hierarchy can degrade performance badly. A main concern of {HPC} is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for {HPC}. A solution to this problem can be network computing, where remote computing facilities are exploited via the internet." }