Take full advantage of 64-bit computing on IA-32 processors.
Intel® Extended Memory 64 Technology (Intel® EM64T) brings 64-bit processing capabilities to desktops, servers, and workstations while ensuring full compatibility with current 32-bit operating systems and applications. Intel EM64T improves performance by allowing the system to address more than 4 gigabytes of virtual and physical memory. Using this technology, you can enjoy the flexibility to move to 64-bit processing whenever it makes the most sense for your needs.
Learn how to migrate 32-bit code to processors with Intel EM64T and achieve better performance when working with large datasets. This practical guide removes the guesswork, giving you tips on optimization and best known methods to develop flexible, scalable, 64-bit software applications for desktops and general-purpose server/workstation platforms.
Highlights include:
Description of Intel EM64T and the associated programming changes
Implications of ILP 64 for data structures and byte alignment
Tools and techniques for successful migration to 64 bits
Mixing of 32-bit and 64-bit applications
Writing code that takes advantage of new instructions
Effective use of big memory while avoiding the pitfalls
Examples written in C language
Essential reading for every developer whose code will run on Intel® Architecture Processors with Intel EM64T.
Reader Comments
"This book is really practical and useful. It thoroughly covers depth of the technology and backgrounds of portable programming."
—Oleksiy Danikhno, Director, Application Development and Architecture, A4Vision, Inc.
About the Author
Andrew Binstock is the principal analyst at Pacific Data Works LLC and the middleware columnist for SD Times. He is also a contributing editor to InfoWorld magazine. Previously, Andrew was a senior technology manager at PricewaterhouseCoopers, where he oversaw global technology forecasting for the firm's clients. Earlier, he was editor-in-chief of the UNIX Review. His book, Practical Algorithms for Programmers, is currently in its twelfth printing. Andrew is also the co-author of Programming with Hyper-Threading Technology.
