Edelman develops "Julia," new programming language for high performance computing

As high-performance computing (HPC) bends to the needs of "big data" applications, speed remains essential. But it's not only a question of how quickly one can compute problems, but how quickly one can program the complex applications that do so.

"In recent years, people have started to do many more sophisticated things with big data, like large-scale data analysis and large-scale optimization of portfolios," says Alan Edelman, a professor of applied mathematics who is affiliated with MIT's Computer Science and Artificial Intelligence Laboratory. "There's demand for everything from recognizing handwriting to automatically grading exams."

Edelman has been leading the global, open-source development of "Julia," a powerful but flexible programming language for high performance computing.

Read more at MIT News: http://bit.ly/1lAeB2