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Performance Tuning of Scientific Applications : Chapman & Hall/Crc Computational Science - David H. Bailey

Performance Tuning of Scientific Applications

Chapman & Hall/Crc Computational Science

By: David H. Bailey (Editor), Robert F. Lucas (Editor), Samuel Williams (Editor)

Hardcover Published: 23rd November 2010
ISBN: 9781439815694
Number Of Pages: 400

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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

Introduction, David H. Bailey Background "Twelve Ways to Fool the Masses" Examples from Other Scientific Fields Guidelines for Reporting High Performance Modern Performance Science Parallel Computer Architecture, Samuel W. Williams and David H. Bailey Introduction Parallel Architectures Processor (Core) Architecture Memory Architecture Network Architecture Heterogeneous Architectures Software Interfaces to Hardware Counters, Shirley V. Moore, Daniel K. Terpstra, and Vincent M. Weaver Introduction Processor Counters Off-Core and Shared Counter Resources Platform Examples Operating System Interfaces PAPI in Detail Counter Usage Modes Uses of Hardware Counters Caveats of Hardware Counters Measurement and Analysis of Parallel Program Performance using TAU and HPCToolkit, Allen D. Malony, John Mellor-Crummey, and Sameer S. Shende Introduction Terminology Measurement Approaches HPCToolkit Performance Tools TAU Performance System Trace-Based Tools, Jesus Labarta Introduction Tracing and Its Motivation Challenges Data Acquisition Techniques to Identify Structure Models Interoperability The Future Large-Scale Numerical Simulations on High-End Computational Platforms, Leonid Oliker, Jonathan Carter, Vincent Beckner, John Bell, Harvey Wasserman, Mark Adams, Stephane Ethier, and Erik Schnetter Introduction HPC Platforms and Evaluated Applications GTC: Turbulent Transport in Magnetic Fusion GTC Performance OLYMPUS: Unstructured FEM in Solid Mechanics Carpet: Higher-Order AMR in Relativistic Astrophysics CASTRO: Compressible Astrophysics MILC: Quantum Chromodynamics Performance Modeling: The Convolution Approach, David H Bailey, Allan Snavely, and Laura Carrington Introduction Applications of Performance Modeling Basic Methodology Performance Sensitivity Studies Analytic Modeling for Memory Access Patterns Based on Apex-MAP, Erich Strohmaier, Hongzhang Shan, and Khaled Ibrahim Introduction Memory Access Characterization Apex-MAP Model to Characterize Memory Access Patterns Using Apex-MAP to Assess Processor Performance Apex-MAP Extension for Parallel Architectures Apex-MAP as an Application Proxy Limitations of Memory Access Modeling The Roofline Model, Samuel W. Williams Introduction The Roofline Bandwidth Ceilings In-Core Ceilings Arithmetic Intensity Walls Alternate Roofline Models End-to-End Auto-Tuning with Active Harmony, Jeffrey K. Hollingsworth and Ananta Tiwari Introduction Overview Sources of Tunable Data Search Auto-Tuning Experience with Active Harmony Languages and Compilers for Auto-Tuning, Mary Hall and Jacqueline Chame Language and Compiler Technology Interaction between Programmers and Compiler Triage Code Transformation Higher-Level Capabilities Empirical Performance Tuning of Dense Linear Algebra Software, Jack Dongarra and Shirley Moore Background and Motivation ATLAS Auto-Tuning for Multicore Auto-Tuning for GPUs Auto-Tuning Memory-Intensive Kernels for Multicore, Samuel W. Williams, Kaushik Datta, Leonid Oliker, Jonathan Carter, John Shalf, and Katherine Yelick Introduction Experimental Setup Computational Kernels Optimizing Performance Automatic Performance Tuning Results Flexible Tools Supporting a Scalable First-Principles MD Code, Bronis R. de Supinski, Martin Schulz, and Erik W. Draeger Introduction Qbox: A Scalable Approach to First-Principles Molecular Dynamics Experimental Setup and Baselines Optimizing Qbox: Step by Step Customizing Tool Chains with PN MPI The Community Climate System Model, Patrick H. Worley Introduction CCSM Overview Parallel Computing and the CCSM Case Study: Optimizing Interprocess Communication Performance in the Spectral Transform Method Performance Portability: Supporting Options and Delaying Decisions Case Study: Engineering Performance Portability into the Community Atmosphere Model Case Study: Porting the Parallel Ocean Program to the Cray X1 Monitoring Performance Evolution Performance at Scale Tuning an Electronic Structure Code, David H. Bailey, Lin-Wang Wang, Hongzhang Shan, Zhengji Zhao, Juan Meza, Erich Strohmaier, and Byounghak Lee Introduction LS3DF Algorithm Description LS3DF Code Optimizations Test Systems Performance Results and Analysis Science Results Bibliography Index

ISBN: 9781439815694
ISBN-10: 1439815690
Series: Chapman & Hall/Crc Computational Science
Audience: Tertiary; University or College
Format: Hardcover
Language: English
Number Of Pages: 400
Published: 23rd November 2010
Publisher: CRC PR INC
Country of Publication: US
Dimensions (cm): 23.5 x 15.88  x 2.54
Weight (kg): 0.68
Edition Number: 1