TY  - BOOK
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Applied Parallel Computing. State of the Art in Scientific Computing: 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004. Revised Selected Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783540334989
AV  - QA76.9.M35 
U1  - 004.0151 23
PY  - 2006///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Software engineering
KW  - Computer software
KW  - Mathematics
KW  - Physics
KW  - Engineering
KW  - Computer Science
KW  - Mathematics of Computing
KW  - Software Engineering/Programming and Operating Systems
KW  - Algorithm Analysis and Problem Complexity
KW  - Complexity
KW  - Computational Mathematics and Numerical Analysis
N1  - Invited Talks -- Minisymposia -- Contributed Talks; ZDB-2-SCS; ZDB-2-LNC
N2  - Introduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA94, PARA95 and PARA96 in Lyngby, Denmark, PARA98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title ǣState of the Art in Scienti?c Computingǥ, was held in Lyngby, Denmark, June 2023, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was óniewski 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 dif?cult 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 computers memory hi- archy 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
UR  - http://dx.doi.org/10.1007/11558958
ER  -