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The Department of memory and the newly developed technology to enable programs to run more efficient multi-core processors.
IT 'parallelises' programs such as word processors, Web browsers, parsers language and graph algorithms, which is usually only used only one processor, or 'core', at one time.
The researcher, Dr. Devesh Tiwari can not be traditionally those programs that are running in parallel, comparing the process of brewing a pot of coffee in consecutive steps.
With his colleagues at the University of North Carolina, Tiwari developed a way to isolate and software functionality for memory management in a separate 'subject' from the rest of the workload.
And to the extent the functions of memory management, which involves the preparation of memory to hold the data or free memory that is currently in use, to include typically 30 percent of the volume of work in the program.
Because the thread 'memory management') (million tons) and can run on a core set different from the rest of the programs, researchers found 20 percent with the increase in the speed of open source software standards.
"Thread notifies the subject of calculation and memory management, said to be effective for the allocation and storage of data, and to notify the subject of computing where the storage space," explained Tiwari.

"In the same vein, when the calculation thread will no longer need certain data, it is a thread and memory management that could free up space storage-related."