The National Science Foundation recently awarded a Texas Tech computer science professor $1 million to develop new supercomputing techniques known as “compute on data path”.

Yong Chen will lead the effort. He is an assistant professor of computer science and director of the Data-Intensive Scalable Computing Lab.

According to a press release from the university, the “data-centric” computing method can “analyze more and different types of data used in scientific discovery and does so all at one time. Chen said the concept may allow assimilation of data types that may be dissimilar.

“At this stage, this is more about methodology development than creating an actual supercomputer.” Chen said.

According to Chen, supercomputers using “computing-centric” models experience bottle-necking issues with data-intensive projects. Chen believes the new “data-centric” method could lead to improved performance, efficiency and productivity in advancing science.