Today the Indiana University Global Research Network Operations Center (GlobalNOC) today announced the award of a major new five-year, $4.8 million grant from the NSF.
For about 40 years, developers and users could count on an increase in CPU performance that would make applications run faster. However, with the slowdown in constant clock rate increases being replaced by additional core counts and even more new instructions, rethinking algorithms, their use of the latest APIs, and using the latest compilers has become critical for the next generation of application performance enhancements.
Researchers at LBNL have have developed a new algorithm that opens the door for real-time simulations in atomic-level materials research. “By eliminating higher energy terms, you significantly reduce the dimension of your problem, and you can also use a bigger time step,” explained Wang, describing the key to the algorithm’s success: Solving the equations in bigger time steps reduces the computational cost and increases the speed of the simulations.