To fulfill our missions in national security and basic science, we explore different ways to solve large, complex problems, most of which include the need to advance data analytics,” said Dona Crawford, associate director for Computation at Lawrence Livermore. “These Graph500 achievements are a product of that work performed in collaboration with our industry partners. Furthermore, these innovations are likely to benefit the larger scientific computing community.”
Our approach really lowers the barrier of entry for people trying to solve very large graph problems,” said Roger Pearce, a researcher in LLNL’s Center for Applied Scientific Computing (CASC).
These results collectively demonstrate LLNL’s pre-eminence as a full service data intensive HPC shop, from single server to data intensive cluster to world-class supercomputer,” said Maya Gokhale, LLNL principal investigator for data-centric computing architectures.