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Detalles bibliogr�ficos

T�tulo: Efficient C++: Performance Programming Techniques
Editor: Addison-Wesley Professional (edition 1)
Fecha de publicaci�n: 1999
Idioma: Ingl�s
ISBN 10: 0201379503
ISBN 13: 9780201379501
Encuadernaci�n: Paperback
Edici�n: 1.
Estado: Good

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Sinopsis

Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow and inappropriate for performance-critical applications. Consequently, C++ has had little success penetrating domains such as networking, operating system kernels, device drivers, and others. Efficient C++ explodes that myth. Written by two authors with first-hand experience wringing the last ounce of performance from commercial C++ applications, this book demonstrates the potential of C++ to produce highly efficient programs. The book reveals practical, everyday object-oriented design principles and C++ coding techniques that can yield large performance improvements. It points out common pitfalls in both design and code that generate hidden operating costs. This book focuses on combining C++'s power and flexibility with high performance and scalability, resulting in the best of both worlds. Specific topics include temporary objects, memory management, templates, inheritance, virtual functions, inlining, reference-counting, STL, and much more. With this book, you will have a valuable compendium of the best performance techniques at your fingertips. 0201379503B04062001

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Dov Bulka has spent fifteen years in the trenches of software development delivering large-scale software products to market. He was the performance architect of the IBM Domino-Go Web server that has powered some of the biggest Web sites ever hosted on the Internet, including that of the 1996 Atlanta Olympics. He received his Ph.D. in computer science from Duke University.

David Mayhew is Principal Architect of StarBridge Technologies, Inc., where he concentrates on interconnection fabrics, peer processing, and PCI bus evolution. Previously, he worked for IBM's Networking Software Division. He received his Ph.D. in computer science from Virginia Tech.

0201379503AB04062001

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