
Performance Tuning of Scientific Applications
CRC Press
1. Auflage
Erschienen am 23. November 2010
Buch
Hardcover
400 Seiten
978-1-4398-1569-4 (ISBN)
Beschreibung
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.
Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring performance and managing large quantities of data
Performance analysis: Discusses modern approaches to computer performance benchmarking and presents results that offer valuable insight into these studies
Performance modeling: Explains how researchers deduce accurate performance models from raw performance data or from other high-level characteristics of a scientific computation
Automatic performance tuning: Explores ongoing research into automatic and semi-automatic techniques for optimizing computer programs to achieve superior performance on any computer platform
Application tuning: Provides examples that show how the appropriate analysis of performance and some deft changes have resulted in extremely high performance
Performance analysis has grown into a full-fledged, sophisticated field of empirical science. Describing useful research in modern performance science and engineering, this book helps real-world users of parallel computer systems to better understand both the performance vagaries arising in scientific applications and the practical means for improving performance.
Read about the book on HPCwire and insideHPC
Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring performance and managing large quantities of data
Performance analysis: Discusses modern approaches to computer performance benchmarking and presents results that offer valuable insight into these studies
Performance modeling: Explains how researchers deduce accurate performance models from raw performance data or from other high-level characteristics of a scientific computation
Automatic performance tuning: Explores ongoing research into automatic and semi-automatic techniques for optimizing computer programs to achieve superior performance on any computer platform
Application tuning: Provides examples that show how the appropriate analysis of performance and some deft changes have resulted in extremely high performance
Performance analysis has grown into a full-fledged, sophisticated field of empirical science. Describing useful research in modern performance science and engineering, this book helps real-world users of parallel computer systems to better understand both the performance vagaries arising in scientific applications and the practical means for improving performance.
Read about the book on HPCwire and insideHPC
Weitere Details
Sprache
Englisch
Verlagsort
Bosa Roca
USA
Verlagsgruppe
Taylor & Francis Inc
Zielgruppe
Für Beruf und Forschung
Professional Practice & Development
Produkt-Hinweis
Pappband
Illustrationen
114 b/w images and 22 tables
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 26 mm
Gewicht
766 gr
ISBN-13
978-1-4398-1569-4 (9781439815694)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Weitere Ausgaben
Andere Ausgaben

David H. Bailey | Robert F. Lucas | Samuel Williams
Performance Tuning of Scientific Applications
Buch
10/2019
1. Auflage
CRC Press
124,50 €
Versand in 15-20 Tagen

David H. Bailey | Robert F. Lucas | Samuel Williams
Performance Tuning of Scientific Applications
E-Book
11/2010
1. Auflage
CRC Press
86,99 €
Als Download verfügbar

David H. Bailey | Robert F. Lucas | Samuel Williams
Performance Tuning of Scientific Applications
E-Book
11/2010
CRC Press
86,99 €
Als Download verfügbar
Personen
David Bailey is a chief technologist in the High Performance Computational Research Department at the Lawrence Berkeley National Laboratory. Dr. Bailey has published several books and numerous research studies on computational and experimental mathematics. He has been a recipient of the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the MAA Chauvenet Prize and Merten Hasse Prize.
Robert Lucas is the director of computational sciences in the Information Sciences Institute and a research associate professor in computer science in the Viterbi School of Engineering at the University of Southern California. Dr. Lucas has many years of experience working with high-end defense, national intelligence, and energy applications and simulations. His linear solvers are the computational kernels of electrical and mechanical CAD tools.
Samuel Williams is a researcher in the Future Technologies Group at the Lawrence Berkeley National Laboratory. Dr. Williams has authored or co-authored thirty technical papers, including several award-winning papers. His research interests include high-performance computing, auto-tuning, computer architecture, performance modeling, and VLSI.
Robert Lucas is the director of computational sciences in the Information Sciences Institute and a research associate professor in computer science in the Viterbi School of Engineering at the University of Southern California. Dr. Lucas has many years of experience working with high-end defense, national intelligence, and energy applications and simulations. His linear solvers are the computational kernels of electrical and mechanical CAD tools.
Samuel Williams is a researcher in the Future Technologies Group at the Lawrence Berkeley National Laboratory. Dr. Williams has authored or co-authored thirty technical papers, including several award-winning papers. His research interests include high-performance computing, auto-tuning, computer architecture, performance modeling, and VLSI.
Inhalt
Introduction. Parallel Computer Architecture. Software Interfaces to Hardware Counters. Measurement and Analysis of Parallel Program Performance using TAU and HPCToolkit. Trace-Based Tools. Large-Scale Numerical Simulations on High-End Computational Platforms. Performance Modeling: The Convolution Approach. Analytic Modeling for Memory Access Patterns Based on Apex-MAP. The Roofline Model. End-to-End Auto-Tuning with Active Harmony. Languages and Compilers for Auto-Tuning. Empirical Performance Tuning of Dense Linear Algebra Software. Auto-Tuning Memory-Intensive Kernels for Multicore. Flexible Tools Supporting a Scalable First-Principles MD Code. The Community Climate System Model. Tuning an Electronic Structure Code. Bibliography. Index.