Computer scientists simplify parallel programming
Thursday, March 12, 2015 - 08:50
in Mathematics & Economics
Modern software takes computational speed for granted. But modern microprocessors can only speed up by increasing the number of cores. To take full advantage of multiple cores, software developers have to arrange their code in such a way that it is executable in parallel—an error-prone and expensive task. Computer scientists from Saarland University have developed a tool that parallelizes the necessary code sections automatically, and also gives developers programming advice.