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

Massively parallel It first got serious attention when John Lakos published his book about Large-scale C++ systems. Save up to £100 by booking your place this week. Apr 30, 2014 - An event that brings together over twenty of the world's foremost experts on software design and development takes place in London next month. €� Stephen Dewhurst, C++ Gotchas. Nov 16, 2008 - John Lakos, Large-Scale C++ Software Design. Beyond the basic In our recent post Reaching For The Sky Through Compute Clouds we talked about how commodity cloud computing is changing the way we deliver large-scale web applications. [Asserts] occupy a useful niche situated somewhere between comments and exceptions for documenting and detecting illegal behavior. Jul 23, 2008 - A successful software engineer knows and uses design patterns, actively refactors code, writes unit tests and religiously seeks simplicity. Dec 3, 2005 - Following up on a comment from Udi Dahan about physical design Len Holgate points out that. Releases duetto, a compiler designed to develop integrated (backend and frontend) web applications in C++. Nov 26, 2013 - Large-Scale C++ Software Design Review You are looking for Large-Scale C++ Software Design or not, Read Large-Scale C++ Software Design Review and details. Work with awesome technology: Clusters of 1,000+ machines, large neural network learning systems, GPUs, parallel arrays of Strong C++, STL, Boost expertise. Howard Deiner, who has applied the principles of Agile and XP development in teams both large and small is on the schedule for three sessions: Lean Thinking And What It Means To The Agile Mindset; Agility at Scale – Platform vs. Solid understanding of object oriented software design concepts. If you're working in C++ and you haven't read Large-Scale C++ Software Design (APC) by John Lakos then you really should. Oct 31, 2013 - Today Leaning Technologies Ltd. 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.