by Richard McDougall
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Solaris Internals(TM): Solaris 10 and OpenSolaris Kernel Architecture (2nd Edition) (Solaris Series) by Richard McDougall |
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Editorial Reviews
Product Description
This book is a practical guide to performance optimization of computationally intensive programs on Sun UltraSPARC platforms. It is primarily intended for developers of technical or high performance computing (HPC) applications for the Solaris(tm) operating environment. This audience includes both independent software vendor (ISV) developers and noncommercial developers. It can also be used by end-users of HPC applications to help them better understand how applications utilize system resources. The book presents information so that it follows logical stages of the process for application development and optimization. We pay special attention to issues related to parallel applications and to using appropriate performance measurement tools. Wherever applicable, sections are illustrated with code examples that show benefits of methods described. Unless otherwise noted, topics in this book are not limited to a particular programming language, parallelization method, software version, or hardware product. However, emphasis is on techniques relevant to applications written in Fortran 77, Fortran 90, and C, because these languages are most commonly used in HPC and technical applications. Most topics can be applied to C++ programs; however, we do not address performance optimization issues specific to object-oriented programming.
From the Back Cover
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This book is a practical guide to performance optimization of computationally intensive programs on Sun UltraSPARC platforms. It is primarily intended for developers of technical or high performance computing (HPC) applications for the Solaris(tm) operating environment. This audience includes both independent software vendor (ISV) developers and noncommercial developers. It can also be used by end-users of HPC applications to help them better understand how applications utilize system resources. The book presents information so that it follows logical stages of the process for application development and optimization. We pay special attention to issues related to parallel applications and to using appropriate performance measurement tools. Wherever applicable, sections are illustrated with code examples that show benefits of methods described. Unless otherwise noted, topics in this book are not limited to a particular programming language, parallelization method, software version, or hardware product. However, emphasis is on techniques relevant to applications written in Fortran 77, Fortran 90, and C, because these languages are most commonly used in HPC and technical applications. Most topics can be applied to C++ programs; however, we do not address performance optimization issues specific to object-oriented programming.
From the Back Cover
This book is a practical guide to performance optimization of computationally intensive programs on Sun UltraSPARC platforms. It is primarily intended for developers of technical or high performance computing (HPC) applications for the Solaris(tm) operating environment. This audience includes both independent software vendor (ISV) developers and noncommercial developers. It can also be used by end-users of HPC applications to help them better understand how applications utilize system resources.
The book presents information so that it follows logical stages of the process for application development and optimization. We pay special attention to issues related to parallel applications and to using appropriate performance measurement tools. Wherever applicable, sections are illustrated with code examples that show benefits of methods described.
Unless otherwise noted, topics in this book are not limited to a particular programming language, parallelization method, software version, or hardware product. However, emphasis is on techniques relevant to applications written in Fortran 77, Fortran 90, and C, because these languages are most commonly used in HPC and technical applications. Most topics can be applied to C++ programs; however, we do not address performance optimization issues specific to object-oriented programming.
See all Editorial Reviews
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