A collaboration between DOE’s National Energy Technology Laboratory and Cerebras Systems, maker of the CS-1 deep learning compute system, has demonstrated that CS-1 could perform a key computational fluid dynamics (CFD) workload more than 200 times faster and at a fraction of the power consumption than the same workload on an optimized number of cores […]
Supercomputing Cleaner Power Plants
January 22, 2019 by
Researchers are looking to HPC to help engineer cost-effective carbon capture and storage technologies for tomorrow’s power plants. “By combining new algorithmic approaches and a new software infrastructure, MFiX-Exa will leverage future exascale machines to optimize CLRs. Exascale will provide 50 times more computational science and data analytic application power than is possible with DOE high-performance computing systems such as Titan at the Oak Ridge Leadership Computing Facility (OLCF) and Sequoia at Lawrence Livermore National Laboratory.”
