"Hyperion Research today announced the 14th round of recipients of the HPC Innovation Excellence Award at the ISC19 supercomputer industry conference in Frankfurt, Germany. ... The HPC Innovation Excellence Award recognized achievements by users of high performance computing (HPC) technologies.
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"University of California, Davis (U.S.). Engineers use the Cori supercomputer to develop Project DisCo, the first distributed HPC application of a physics-based, data-driven technique called “local causal states.” This technique offers a principled and theoretically well-motivated alternative to deep learning for the goal of scientific discovery from data. The team at UC Davis used this technique on climate data from the CAM5.1 global atmospheric model, processing almost 90 terabytes of data in less than 7 minutes on the Cori supercomputer. New data-driven methods are required that discover and mathematically describe complex emergent phenomena, uncover the physical and causal mechanisms underlying these phenomena, and are better able to predict these phenomena and how they evolve over time. The local causal states have the potential to do exactly this, and to do so directly from unlabeled data. Tools like the DisCo implementation of local causal states will allow scientists to ask complicated questions of their data sets without knowing all the technical details of how to properly answer these questions. Project leader: Adam Rupe."

Read the full press release at the HPCwire website here: https://www.hpcwire.com/off-the-wire/hyperion-research-announces-new-winners-of-hpc-innovation-excellence-awards/