Leistungsabstimmung wissenschaftlicher Anwendungen von David H. Bailey: Neu-

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Performance Tuning of Scientific Applications by David H Bailey: New
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Book Title
Performance Tuning of Scientific Applications
Publication Date
2010-11-23
Pages
400
ISBN
9781439815694
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1439815690
ISBN-13
9781439815694
eBay Product ID (ePID)
112131997

Product Key Features

Number of Pages
400 Pages
Publication Name
Performance Tuning of Scientific Applications
Language
English
Publication Year
2010
Subject
General, Data Processing
Type
Textbook
Subject Area
Computers, Science
Author
Robert F. Lucas
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
24.1 Oz
Item Length
9.2 in
Item Width
6.3 in

Additional Product Features

Intended Audience
College Audience
LCCN
2010-042967
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
502.85
Table Of Content
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.
Synopsis
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, 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 insideHPC, 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
LC Classification Number
Q183.9

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