“The NNSA’s Advanced Memory Technologies program started 1.5 years ago with the goal of 40x performance improvement on critical NNSA applications over what can be achieved on exascale systems. We all had our doubts on achieving this goal within the short timeframe, but Cerebras’s technology and team has helped us exceed this goal by demonstrating unprecedented 179x performance improvement on molecular dynamics simulations. These results open up new opportunities for materials research and science discoveries beyond what we envisioned. We are excited to continue this collaboration with Cerebras and explore new frontiers in science.”

“I have been working in atomistic simulation of materials for more than 20 years. During that time, I have participated in massive improvements in both the size and accuracy of the simulations.  However, despite all this, we have been unable to increase the actual simulation rate.  The wall-clock time required to run simulations has barely budged in the last 15 years.  It is as if we have gone from driving a Model-T Ford on a two-lane dirt road to a Tesla on a 20-lane superhighway, but we still can’t go faster than 55 mph.  Now, with the Cerebras Wafer-Scale Engine, we can all of a sudden drive at hypersonic speeds.  This joint DOE-Cerebras team has accomplished something unprecedented and highly disruptive. I look forward to seeing how this transforms all kinds of scientific research in the near future.”

“The partnership between the NNSA laboratories and Cerebras Systems as part of the Advanced Memory Technology (AMT) program reached new heights when the team set their sights on a materials science demonstration which resulted in a speedup that exceeded the goal of the AMT program by more than 4X. This experience bodes well for future impacts to our program and potential scientific advances.”

“It’s been a real pleasure to witness bleeding-edge computer science and engineering lead to the creation of a unique scientific capability to directly simulate the evolution of materials at the nanoscale over unprecedented timescales. Addressing a long-standing challenge in the field that often-prevented direct comparisons between experiments and simulations.”