Large-Scale C++ Software Design. John Lakos

Large-Scale C++ Software Design


Large.Scale.C.Software.Design.pdf
ISBN: 0201633620, | 870 pages | 22 Mb


Download Large-Scale C++ Software Design



Large-Scale C++ Software Design John Lakos
Publisher: Addison Wesley




Naturally, experienced C++ developers do not think about all these as they work, any .. Design with data and avoid wasted effort. Apr 4, 2011 - A consequence of this language design decision is that the responsibility for dealing with these “other considerations” shifts from the language and compiler writer to the developers using the language. Industry-leading application performance that scales as processor core count and vector width increase; Efficiently scale on tomorrow's hardware while preserving investment in existing code. General advice from professional C library/API designers on what all factors must be considered while designing such stuff. Project performance scaling on large systems with more cores. Sep 8, 2010 - John Lakos wrote the book Large-Scale C++ Software Design, in which he describes many issues of developing C++ software for large projects. Dreamers Send "Large-Scale C++ Software Design" by John Lakos. And Aleksey Gurtovoy, http://boost-consulting.com/tmpbook/preprocessor.html. Work with awesome technology: Clusters of 1,000+ machines, large neural network learning systems, GPUs, parallel arrays of Strong C++, STL, Boost expertise. Solid understanding of object oriented software design concepts. [Lakos96] “Large-Scale C++ Software Design”, John Lakos, Addison-Wesley, ISBN 0201633620. Jul 30, 2012 - Combine Intel® C++ compilers, Fortran compilers, libraries, and error-checking, security, and profiling tools to maximize performance, security, and reliability. Feb 14, 2014 - If you keep updated with blog posts from other programmers out there, you'll probably be thinking: “Oh no, not another post from some functional-programming fan boy”. Feb 26, 2013 - C++ Software Engineer - AI / NLProc / Big Data Join a world-class team: Serious engineering -- solving real-world problems using data analytics, large-scale parallel processing, web spiders, and document analysis pipelines.

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