In the following series, learn all about STL from the great Stephan T. Lavavej, Microsoft’s keeper of the STL cloth (this means he manages the partnership with the owners of STL and Microsoft, including, of course, bug fixes and enhancements to the STL that ships as part of Visual C++).
- Part 1 (sequence containers)
- Part 2 (associative containers)
- Part 3 (smart pointers)
- Part 4 (an extended example of using the STL to solve Nurikabe puzzles)
- etc
build bjam
- go to %BOOST%/tools/jam/src folder
- run build.bat file
- copy bjam.exe file to %BOOST%/bin folder from %BOOST%/tools/jam/src/bin.ntx86 folder
build boost
- go to %BOOST% folder
- compile Boost using bjam.exe:
bin\bjam.exe –build-dir=”C:\Dev\Libs\boost\build-boost” –toolset=msvc –build-type=complete stage
[slideshare id=3099625&doc=parallelprogramming-100207155511-phpapp02]
PowerPoint 97-2003 Show (7-zip)
Intel® Threading Building Blocks (Intel® TBB) is an award-winning C++ template library that abstracts threads to tasks to create reliable, portable, and scalable parallel applications. Just as the C++ Standard Template Library (STL) extends the core language, Intel TBB offers C++ users a higher level abstraction for parallelism. To implement Intel TBB, developers use familiar C++ templates and coding style, leaving low-level threading details to the library. It is also portable between architectures and operating systems. With Intel TBB, developers get the benefits of faster programming, scalable performance, and easier to maintain code.
Intel homepage
Intel® Threading Building Blocks 2.2 for Open Source
The new Parallel Pattern Library (PPL) enables you to express parallelism in your code and how the asynchronous messaging APIs can be used to separate shared state and increase your application’s resilience and robustness.
1. Four Ways to Use the Concurrency Runtime in Your C++ Projects
2. Concurrency Runtime
The Concurrency Runtime is a concurrent programming framework for C++. The Concurrency Runtime simplifies parallel programming and helps you write robust, scalable, and responsive parallel applications.
The features that the Concurrency Runtime provides are unified by a common work scheduler. This work scheduler implements a work-stealing algorithm that enables your application to scale as the number of available processors increases.
3. Parallel Programming in Native Code blog
The OpenMP Application Program Interface (API) supports multi-platform shared-memory parallel programming in C/C++ and Fortran on all architectures, including Unix platforms and Windows NT platforms. Jointly defined by a group of major computer hardware and software vendors, OpenMP is a portable, scalable model that gives shared-memory parallel programmers a simple and flexible interface for developing parallel applications for platforms ranging from the desktop to the supercomputer.
OpenMP homepage
Additional:
Application Verifier is designed specifically to detect and help debug memory corruptions and critical security vulnerabilities.
This is achieved by monitoring a native application’s interaction with the Windows operating system, profiling its use of objects, the registry, the file system, and Win32 APIs (including heaps, handles, locks, etc), and indicating issues when and where they are discovered.
Application Verifier also includes checks to predict how well an application may perform under various account privileges. These compatibility tests are used in Windows Logo program.
Print verification tests are also available to verify your usage of the print subsystem.
Download
Additional links:
Causes the compiler to output a list of the include files. Nested include files are also displayed (files that are included from the files that you include).
When an include file is encountered during compilation, a message is output, for example:
Note: including file: d:\MyDir\include\stdio.h
[slideshare id=3099752&doc=visualstudiooverview-100207162243-phpapp02]
PowerPoint 97-2003 Show (7-zip)