Web Workers: A Draft Recommendation to Allow Parallelism in Scripts – Go Parallel « C# multicore, concurrent, threaded, and parallel programming

Web Workers: A Draft Recommendation to Allow Parallelism in Scripts – Go Parallel

Posted on http://www.ddj.com/go-parallel
Most modern Web pages run scripts. So far, there are many limitations to allow these scripts to take advantage of multicore microprocessors. However, Web Workers is a draft specification that defines an API to allow Web application authors to spawn background workers running scripts in parallel.
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October 5, 2009 - Posted by csharpmulticore | background workers, HTML 5, parallel programming, Parallelism, scripts, Webworkers | multicore, multiprocessor

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I am researching about parallel programming, multiprocessor and multicore since 1997. My last research is a new Packt’s book, www.packtpub.com. Book’s page: http://www.packtpub.com/beginners-guide-for-C-sharp-2008-and-2005-threaded-programming/book. I’ve been working with computers since I was eight. I began programming with the legendary Texas TI-99/4A and Commodore 64 home computers in the early 80s. I have a Bachelor degree in Computer Science, graduated with honors, and an MBA (Master in Business Administration), graduated with an outstanding thesis. I have worked as developer, architect, and project manager for many companies in Buenos Aires, Argentina. I was project manager in one of the most important mortgage loan banks in Latin America for several years. Now, I am an independent IT consultant, and a freelance author. I am always researching about new technologies and writing about them. I am the author of more than 40 books in Spanish about computer science, modern hardware, programming, systems development, software architecture, business applications, balanced scorecard applications, IT project management, Internet, and electronics, published by Editorial HASA, http://www.hasa.com.ar and Grupo Noriega Editores. You can reach me at gastonhillar@hotmail.com

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C# multicore, concurrent, threaded, and parallel programming

Exploit the power of multicore CPUs or multiple processors for faster, more responsive software, using C# programming language. Tackle the multicore revolution.