This week NERSC announced the winners of its third annual HPC Achievement Awards. The awards recognize NERSC users who have demonstrated an innovative use of HPC resources to solve a scientific problem or whose work has had an exceptional impact on scientific understanding or society.
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.
“Over the last five years HPC performance growth has been slowing measurably, and in this presentation several reasons for this slowdown will be analyzed. To reach usable exascale performance over the next decade, some fundamental changes will have to occur in HPC systems architecture. In particular, a transition from a compute centric to a data movement centric point of view needs to be considered. Alternatives including quantum and neuromorphic computing have also been considered. The prospects of these technologies for post-Moore’s Law supercomputing will be explored.”
“At Berkeley Lab, we pride ourselves on great, socially responsible ideas. But can we explain them in a way that non-scientists can understand — and applaud — in only 8 minutes? The answer is yes and we proved it on October 8th at Oakland’s Kaiser Theater as 8 Berkeley Lab scientists took the stage and brought the latest science on everything from solar-powered vaccine refrigerators and cool roof maps to radiation pills and space dust.”