Portal:Computer programming
Computer programming
Selected article
Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently ("in parallel"). There are several different forms of parallel computing: bit-level, instruction level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multicore processors.
Selected biography
Paul Gardner Allen (born January 21, 1953) is an American business magnate, investor, and philanthropist. Allen co-founded Microsoft with Bill Gates. He is also the 57th richest along with Viktor Vekselberg and Gerald Cavendish Grosvenor (and family) who all rank the same with an estimated wealth of $13 billion as of 2011. He is the founder and chairman of Vulcan Inc., which manages his business and philanthropic efforts. Allen also has a multi-billion dollar investment portfolio which includes technology companies such as Evri and Gist, real estate holdings, and stakes in other technology, media, and content companies. Allen also owns two professional sports teams, the Seattle Seahawks of the National Football League (NFL), and the Portland Trail Blazers of the National Basketball Association (NBA). He is also part-owner of the Seattle Sounders FC, which joined Major League Soccer (MLS) in 2009. Allen's memoir Idea Man: A Memoir by the Cofounder of Microsoft was released on April 19, 2011.
Selected picture
A Hello world program in PHP.
Did you know?
- ... that decltype can be used to "clean up function syntax mess" in C++ programming?
- ... that C was designed to allow low-level access to system resources while maintaining code portability across different platforms?
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