New Technique Dramatically Accelerates Computer Programs Without Fear of Errors – SciTechDaily

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Faster Computing Results Without Fear of Errors

Researchers have created a technique that boosts the speeds of programs that run in the Unix shell, a ubiquitous programming environment created 50 years ago, by parallelizing the programs. Credit: Christine Daniloff, MIT

Computer scientists developed a new system that can make computer programs run faster, while guaranteeing

This enables programs to execute tasks like web indexing, natural language processing, or analyzing data in a fraction of their original runtime.

“There are so many people who use these types of programs, like data scientists, biologists, engineers, and economists. Now they can automatically accelerate their programs without fear that they will get incorrect results,” says Nikos Vasilakis, research scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at accuracy

How close the measured value conforms to the correct value.

” data-gt-translate-attributes='[{“attribute”:”data-cmtooltip”, “format”:”html”}]’>accuracy.
Researchers have pioneered a technique that can dramatically accelerate certain types of computer programs automatically, while ensuring program results remain accurate.
Their system boosts the speeds of programs that run in the Unix shell, a ubiquitous programming environment created 50 years ago that is still widely used today. Their method parallelizes these programs, which means that it splits program components into pieces that can be run simultaneously on multiple computer processors.

This enables programs to execute tasks like web indexing, natural language processing, or analyzing data in a fraction of their original runtime.
“There are so many people who use these types of programs, like data scientists, biologists, engineers, and economists. Now they can automatically accelerate their programs without fear that they will get incorrect results,” says Nikos Vasilakis, research scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Technology

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