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City Nuremberg / / Company Wieland Eckert2 1 Hardware / Software Co / Intel / Microsoft / Siemens / / Country Germany / / / Event M&A / / Facility University of Erlangen-Nuremberg / / IndustryTerm appropriate tools / workload to idle processors / portable devices / multi-core processors / image processing / massive computing power / data base server / data parallel processing / work-stealing algorithm / network processing / / OperatingSystem Mac OS X / GNU/Linux / Microsoft Windows / GNU / / Organization University of Erlangen-Nuremberg / Department of Computer Science / MIT / / Position author / scheduler / software developer / programmer / / ProgrammingLanguage Cilk / Fortran / C / C++ / Visual C++ / / Technology one chip / Broadband / few algorithms / work-stealing algorithm / Linux / one algorithm / mobile phones / same processor / operating system / Shared Memory / image processing / parallel processing / / SocialTag 
This is the author’s version of the work. The definitive work was published in Proceedings of the Embedded World Conference, Nuremberg, Germany, March 03-05, 2010. Comparison of Parallelization Frameworks for Shared Me