C++ Templates: The Complete Guide
Boston, Pearson Education, Inc., 2003
$54.99 US (hardcover)
This book is a user's manual for the future of C++ programming. C++ is going through a dramatic metamorphosis, moving far away from C-like pointer manipulation. With the introduction of the standard template library (STL), part of the C++ standard library, low-level coding for data structures and containers is no longer necessary. Instead, efficient generic tools already are available for your code.
One important construct underlying all the changes in C++ is templates, which introduce parameterized types for functions. This new book opens the door to understanding how templates work, with examples throughout.
Part I introduces template basics in seven chapters that extol the virtues of static polymorphism, which allows compile-time type checking that would not be possible at runtime. The authors explain the differences between function templates and class templates, how to use nontype parameters in templates and how to avoid numerous problem areas.
Part II explains templates in-depth and provides information about various kinds of arguments in template code, friend functions, the importance and control of names and how instantiation is done. It also covers how template arguments are deduced and how to decide between generic and specialized code.
The drama really unfolds in Part III. You even may catch yourself thinking, “Whoa, this is C++? I didn't know it could do all this.” The tone is set by a discussion of dynamic vs. static polymorphism. Dynamic polymorphism is the kind generally associated with C++--inheritance with dynamic dispatch at runtime. Templates are a form of static polymorphism, and compile time only seems to be limiting. But this turns out not to be the case. For example, C++ code can be constructed to moderate the behavior of classes by using templatized traits and policy classes. And, templates can be used with inheritance for applications such as parameterized virtuality, which combines the best of two forms of polymorphism.
Metaprogramming, normally associated with Lisp is one of the most powerful uses of templates. Templates actually can be used to construct program-writing programs, or code generators. After the unveiling of capabilities in Part III, Part IV offers a reprise on advanced applications. A highlight is being able to do type classification with templates. Templates allow you to use the type algebra in C++ directly for your own applications, a key to behavioral patterns.
Templates have been used to construct several useful C++ libraries, including the vast collection at boost.org. Both authors are experienced C++ programmers and are closely associated with the C++ Standards Committee. Vandevoorde is a cofounder with of the comp.lang.c++.moderated newsgroup, and Josuttis has written extensively on C++, including The C++ Standard Library.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide